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src/p1/remote/img_return.py | 53 ++ src/p1/remote/listen.py | 66 ++ src/p1/remote/recv_img.py | 78 ++ src/p1/remote/return.py | 71 ++ src/p1/remote/send.py | 116 +++ src/p1/remote/send_img.py | 59 ++ src/p1/remote/track_3.py | 510 ++++++++++++ src/p1/tools/calculator_options_pb2.py | 72 ++ src/p1/tools/calculator_pb2.py | 786 ++++++++++++++++++ 23 files changed, 2706 insertions(+) create mode 100644 src/p1/Image/demo.csv create mode 100644 src/p1/Image/train.py create mode 100644 src/p1/makedata/make_str.py create mode 100644 src/p1/makedata/makecsv.py create mode 100644 src/p1/makedata/makexyz.py create mode 100644 src/p1/makedata/random_csv.py create mode 100644 src/p1/model/keras_metadata.pb create mode 100644 src/p1/model/saved_model.pb create mode 100644 src/p1/model/variables/variables.data-00000-of-00001 create mode 100644 src/p1/model/variables/variables.index create mode 100644 src/p1/remote/Gramhands.py create mode 100644 src/p1/remote/__pycache__/Gramhands.cpython-310.pyc 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diff --git a/src/p1/Image/train.py b/src/p1/Image/train.py new file mode 100644 index 0000000..95a2245 --- /dev/null +++ b/src/p1/Image/train.py @@ -0,0 +1,118 @@ +import csv +import random +import tensorflow as tf +import os +column_names = [] + +train_feature=[] +train_label=[] +test_feature=[] +test_label=[] + +with open("test.csv","r") as r: + reader = csv.reader(r) + for i in reader: + rand = random.randint(0,100) + if rand<=85: + train_label.append((eval(i.pop()))) + b = [] + for j in range(len(i)//3): + + b.append([j]) + train_feature.append(b) + else: + test_label.append((eval(i.pop()))) + b = [eval(j) for j in i] + test_feature.append(b) +train_features = tf.constant(train_feature) +train_labels = tf.constant(train_label) +test_features = tf.constant(test_feature) +test_labels = tf.constant(test_label) + + +model = tf.keras.Sequential([ + tf.keras.layers.Flatten(input_shape=(252,)), + tf.keras.layers.Dense(10, activation=tf.nn.relu), # input shape required + tf.keras.layers.Dense(10, activation=tf.nn.relu), + tf.keras.layers.Dense(3) +]) +predictions = model(train_features) +tf.nn.softmax(predictions[:5]) +print("Prediction: {}".format(tf.argmax(predictions, axis=1))) +print(" Labels: {}".format(train_labels)) +loss_object = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) + +def loss(model, x, y, training): + # training=training is needed only if there are layers with different + # behavior during training versus inference (e.g. Dropout). + y_ = model(x, training=training) + + return loss_object(y_true=y, y_pred=y_) +l = loss(model, train_features, train_labels, training=False) +def grad(model, inputs, targets): + with tf.GradientTape() as tape: + loss_value = loss(model, inputs, targets, training=True) + return loss_value, tape.gradient(loss_value, model.trainable_variables) + +optimizer = tf.keras.optimizers.SGD(learning_rate=0.01) +loss_value, grads = grad(model, train_features, train_labels) + +print("Step: {}, Initial Loss: {}".format(optimizer.iterations.numpy(), + loss_value.numpy())) + +optimizer.apply_gradients(zip(grads, model.trainable_variables)) + +print("Step: {}, Loss: {}".format(optimizer.iterations.numpy(), + loss(model, train_features, train_labels, training=True).numpy())) + +## Note: Rerunning this cell uses the same model variables + +# Keep results for plotting +train_loss_results = [] +train_accuracy_results = [] + +num_epochs = 201 + +for epoch in range(num_epochs): + epoch_loss_avg = tf.keras.metrics.Mean() + epoch_accuracy = tf.keras.metrics.SparseCategoricalAccuracy() + + # Training loop - using batches of 32 + branch = 32 + for num in range(len(train_features)//branch): + x = train_features[num*branch:(num+1)*branch] + y = train_labels[num*branch:(num+1)*branch] + # Optimize the model + loss_value, grads = grad(model, x, y) + optimizer.apply_gradients(zip(grads, model.trainable_variables)) + + # Track progress + epoch_loss_avg.update_state(loss_value) # Add current batch loss + # Compare predicted label to actual label + # training=True is needed only if there are layers with different + # behavior during training versus inference (e.g. Dropout). + epoch_accuracy.update_state(y, model(x, training=True)) + + # End epoch + train_loss_results.append(epoch_loss_avg.result()) + train_accuracy_results.append(epoch_accuracy.result()) + + if epoch % 50 == 0: + print("Epoch {:03d}: Loss: {:.3f}, Accuracy: {:.3%}".format(epoch, + epoch_loss_avg.result(), + epoch_accuracy.result())) + +test_accuracy = tf.keras.metrics.Accuracy() +model.save("model") + +for num in range(len(test_features)): + # training=False is needed only if there are layers with different + # behavior during training versus inference (e.g. Dropout). + x = test_features[num:num+1] + y = test_labels[num:num+1] + logits = model(x, training=False) + prediction = tf.argmax(logits, axis=1, output_type=tf.int32) + print("真实值为",y,"预测值为",prediction) + test_accuracy(prediction, y) + +print("Test set accuracy: {:.3%}".format(test_accuracy.result())) \ No newline at end of file diff --git a/src/p1/makedata/make_str.py b/src/p1/makedata/make_str.py new file mode 100644 index 0000000..5fa6f65 --- /dev/null +++ b/src/p1/makedata/make_str.py @@ -0,0 +1,69 @@ +strs = "INSERT INTO XYZ VALUES (" + + +import cv2 +import mediapipe as mp + +mp_drawing = mp.solutions.drawing_utils +mp_drawing_styles = mp.solutions.drawing_styles +mp_hands = mp.solutions.hands + + +wt = [] +num = 0 +# For webcam input: +cap = cv2.VideoCapture(0) + +with mp_hands.Hands( + model_complexity=0, + max_num_hands=2, + min_detection_confidence=0.5, + min_tracking_confidence=0.5) as hands: + while cap.isOpened(): + success, image = cap.read() + if not success: + print("Ignoring empty camera frame.") + # If loading a video, use 'break' instead of 'continue'. + continue + + # To improve performance, optionally mark the image as not writeable to + # pass by reference. + image.flags.writeable = False + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + results = hands.process(image) + + # Draw the hand annotations on the image. + image.flags.writeable = True + image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) + if results.multi_hand_landmarks: + wt = [] + for i in range(42 * 3): + wt.append(0) + for i,hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label)=="Left": + num = 0 + else: + num =1 + for j,handlms in enumerate(hand_landmarks.landmark): + wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z + mp_drawing.draw_landmarks( + image, + hand_landmarks, + mp_hands.HAND_CONNECTIONS, + mp_drawing_styles.get_default_hand_landmarks_style(), + mp_drawing_styles.get_default_hand_connections_style()) + # Flip the image horizontally for a selfie-view display. + cv2.imshow('MediaPipe Hands', cv2.flip(image, 1)) + ctl = cv2.waitKey(5) + if ctl == ord('q'): + break + elif ctl==ord('s'): + strs="" + for i in wt: + strs+=str(i)[:7]+"," + strs = strs[:-1] + print(strs) +cap.release() + + +print ("数据插入成功") \ No newline at end of file diff --git a/src/p1/makedata/makecsv.py b/src/p1/makedata/makecsv.py new file mode 100644 index 0000000..2bd235f --- /dev/null +++ b/src/p1/makedata/makecsv.py @@ -0,0 +1,63 @@ +import cv2 +import mediapipe as mp +import csv + +mp_drawing = mp.solutions.drawing_utils +mp_drawing_styles = mp.solutions.drawing_styles +mp_hands = mp.solutions.hands + +ls = [] +for i in range(21*3*2+1): + ls.append(0) +wt = ls +num = 0 +# For webcam input: +cap = cv2.VideoCapture(0) +with open("num_1_5.csv","w") as csvfile: + writer = csv.writer(csvfile) + + with mp_hands.Hands( + model_complexity=0, + max_num_hands=2, + min_detection_confidence=0.5, + min_tracking_confidence=0.5) as hands: + while cap.isOpened(): + success, image = cap.read() + if not success: + print("Ignoring empty camera frame.") + # If loading a video, use 'break' instead of 'continue'. + continue + + # To improve performance, optionally mark the image as not writeable to + # pass by reference. + image.flags.writeable = False + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + results = hands.process(image) + + # Draw the hand annotations on the image. + image.flags.writeable = True + image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) + if results.multi_hand_landmarks: + for i,hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label)=="Left": + num = 0 + else: + num =1 + for j,handlms in enumerate(hand_landmarks.landmark): + wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z + mp_drawing.draw_landmarks( + image, + hand_landmarks, + mp_hands.HAND_CONNECTIONS, + mp_drawing_styles.get_default_hand_landmarks_style(), + mp_drawing_styles.get_default_hand_connections_style()) + # Flip the image horizontally for a selfie-view display. + cv2.imshow('MediaPipe Hands', cv2.flip(image, 1)) + ctl = cv2.waitKey(5) + if ctl == ord('q'): + break + elif ctl>=ord('0') and ctl<=ord('9'): + wt[len(wt)-1]=chr(ctl) + writer.writerow(wt) + wt = ls +cap.release() diff --git a/src/p1/makedata/makexyz.py b/src/p1/makedata/makexyz.py new file mode 100644 index 0000000..5603a41 --- /dev/null +++ b/src/p1/makedata/makexyz.py @@ -0,0 +1,81 @@ +import sqlite3 + +conn = sqlite3.connect('info.db') +c = conn.cursor() +print ("数据库打开成功") +strs = "INSERT INTO XYZ VALUES (" + + +import cv2 +import mediapipe as mp + +mp_drawing = mp.solutions.drawing_utils +mp_drawing_styles = mp.solutions.drawing_styles +mp_hands = mp.solutions.hands + +ls = [] +for i in range(42*2): + ls.append(0) +wt = ls +num = 0 +# For webcam input: +cap = cv2.VideoCapture(0) + +with mp_hands.Hands( + model_complexity=0, + max_num_hands=2, + min_detection_confidence=0.5, + min_tracking_confidence=0.5) as hands: + while cap.isOpened(): + success, image = cap.read() + if not success: + print("Ignoring empty camera frame.") + # If loading a video, use 'break' instead of 'continue'. + continue + + # To improve performance, optionally mark the image as not writeable to + # pass by reference. + image.flags.writeable = False + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + results = hands.process(image) + + # Draw the hand annotations on the image. + image.flags.writeable = True + image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) + aa=0 + if results.multi_hand_landmarks: + for i,hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label)=="Left": + num = 0 + else: + num =1 + for j,handlms in enumerate(hand_landmarks.landmark): + aa+=1 + wt[num*21*2+j*2],wt[num*21*2+j*2+1] = handlms.x, handlms.y + mp_drawing.draw_landmarks( + image, + hand_landmarks, + mp_hands.HAND_CONNECTIONS, + mp_drawing_styles.get_default_hand_landmarks_style(), + mp_drawing_styles.get_default_hand_connections_style()) + # Flip the image horizontally for a selfie-view display. + cv2.imshow('MediaPipe Hands', cv2.flip(image, 1)) + ctl = cv2.waitKey(5) + if ctl == ord('q'): + break + elif ctl==ord('s'): + word = "\'"+input()+"\'," + strs+=word + print(aa) + print(len(wt)) + for i in wt: + strs+=str(i)[:7]+"," + strs = strs[:-1] + ");" + c.execute(strs) + conn.commit() + print(strs) +cap.release() + + +print ("数据插入成功") +conn.close() \ No newline at end of file diff --git a/src/p1/makedata/random_csv.py b/src/p1/makedata/random_csv.py new file mode 100644 index 0000000..6e0d0ee --- /dev/null +++ b/src/p1/makedata/random_csv.py @@ -0,0 +1,18 @@ +import csv +import random +import time + +ls = [] +with open("num_1_5.csv","r") as r: + read = csv.reader(r) + for i in read: + ls.append(i) +for i in range(len(ls)): + random.seed(time.time()) + rand = random.randint(0,100) + ls[i],ls[rand]=ls[rand],ls[i] + +with open("test.csv","w") as w: + writer = csv.writer(w) + for i in ls: + writer.writerow(i) \ No newline at end of file diff --git a/src/p1/model/keras_metadata.pb b/src/p1/model/keras_metadata.pb 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recv(self,img): + results=self.hands[self.num].process(img) + self.num=self.num%self.len+1 + if results.multi_hand_landmarks: + for i in range(len(self.wt)): + self.wt[i]=0 + for i, hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label) == "Left": + num = 0 + else: + num = 1 + for j, handlms in enumerate(hand_landmarks.landmark): + self.wt[num * 21 * 3 + j * 3], self.wt[num * 21 * 3 + j * 3 + 1], self.wt[num * 21 * 3 + j * 3 + 2] = handlms.x, handlms.y, handlms.z + return self.wt + + def file(self,path): + img=cv2.imread(path) + results=self.hands[self.num].process(img) + self.num=self.num%self.len+1 + if results.multi_hand_landmarks: + for i in range(len(self.wt)): + self.wt[i]=0 + for i, hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label) == "Left": + num = 0 + else: + num = 1 + for j, handlms in enumerate(hand_landmarks.landmark): + self.wt[num * 21 * 3 + 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loading a video, use 'break' instead of 'continue'. + continue + imagec=image + # To improve performance, optionally mark the image as not writeable to + # pass by reference. + image.flags.writeable = False + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + results = hands.process(image) + + # Draw the hand annotations on the image. + image.flags.writeable = True + image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) + if results.multi_hand_landmarks: + wt = [] + for i in range(42 * 3): + wt.append(0) + for i,hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label)=="Left": + num =0 + else: + num =1 + for j,handlms in enumerate(hand_landmarks.landmark): + wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z + mp_drawing.draw_landmarks( + image, + hand_landmarks, + mp_hands.HAND_CONNECTIONS, + mp_drawing_styles.get_default_hand_landmarks_style(), + mp_drawing_styles.get_default_hand_connections_style()) + # Flip the image horizontally for a selfie-view display. + cv2.imshow('MediaPipe Hands', cv2.flip(image, 1)) + ctl = cv2.waitKey(5) + if ctl == ord('q'): + break + elif ctl==ord('s'): + re=img_return.img_return(imagec) + re.run2(hands) +cap.release() + diff --git a/src/p1/remote/img_return.py b/src/p1/remote/img_return.py new file mode 100644 index 0000000..509ea9f --- /dev/null +++ b/src/p1/remote/img_return.py @@ -0,0 +1,53 @@ +strs = "INSERT INTO XYZ VALUES (" + +import mediapipe as mp +import cv2 + +mp_drawing = mp.solutions.drawing_utils +mp_drawing_styles = mp.solutions.drawing_styles +mp_hands = mp.solutions.hands + + +wt = [] +num = 0 +# For webcam input: + + +class img_return(): + def __init__(self,img): + self.image=img + self.image.flags.writeable = False + self.image = cv2.cvtColor(self.image, cv2.COLOR_BGR2RGB) + self.hands=mp_hands.Hands( + model_complexity=0, + max_num_hands=2, + min_detection_confidence=0.5, + min_tracking_confidence=0.5) + self.num=0 + self.wt = [] + for i in range(21*3*2): + self.wt.append(0) + + def run(self): + results=self.hands.process(self.image) + if results.multi_hand_landmarks: + for i, hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label) == "Left": + num = 0 + else: + num = 1 + for j, handlms in enumerate(hand_landmarks.landmark): + self.wt[num * 21 * 3 + j * 3], self.wt[num * 21 * 3 + j * 3 + 1], self.wt[num * 21 * 3 + j * 3 + 2] = handlms.x, handlms.y, handlms.z + print(self.wt) + + def run2(self,hands): + results=hands.process(self.image) + if results.multi_hand_landmarks: + for i, hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label) == "Left": + num = 0 + else: + num = 1 + for j, handlms in enumerate(hand_landmarks.landmark): + self.wt[num * 21 * 3 + j * 3], self.wt[num * 21 * 3 + j * 3 + 1], self.wt[num * 21 * 3 + j * 3 + 2] = handlms.x, handlms.y, handlms.z + print(self.wt) \ No newline at end of file diff --git a/src/p1/remote/listen.py b/src/p1/remote/listen.py new file mode 100644 index 0000000..193b325 --- /dev/null +++ b/src/p1/remote/listen.py @@ -0,0 +1,66 @@ +# -*- coding=utf-8 -*- + +import socket +import threading +import time +import sys +import os +import struct + +import Gramhands + +mhand=Gramhands.remote_mhands() + +def socket_service(): + try: + s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind(('127.0.0.1', 6666)) + s.listen(10) + except socket.error as msg: + print(msg) + sys.exit(1) + print('Waiting connection...') + + while 1: + conn, addr = s.accept() + t = threading.Thread(target=deal_data, args=(conn, addr)) + t.start() + + +def deal_data(conn, addr): + print('Accept new connection from {0}'.format(addr)) + # conn.settimeout(500) + conn.send('Hi, Welcome to the server!'.encode("utf-8")) + + while 1: + fileinfo_size = struct.calcsize('128sl') + buf = conn.recv(fileinfo_size) + now_tim = time.time() + now_tim = str(int(now_tim)) + if buf: + filename, filesize = struct.unpack('128sl', buf) + + recvd_size = 0 # 定义已接收文件的大小 + fp = open(now_tim+".png", 'wb') + + while not recvd_size == filesize: + if filesize - recvd_size > 1024: + data = conn.recv(1024) + recvd_size += len(data) + else: + data = conn.recv(filesize - recvd_size) + recvd_size = filesize + fp.write(data) + fp.close() + print('end receive...') + strs=mhand.file(now_tim) + conn.send(strs.encode("utf-8")) + print(conn.recv(1024).decode('utf-8')) + conn.close() + + break + + +if __name__ == '__main__': + socket_service() \ No newline at end of file diff --git a/src/p1/remote/recv_img.py b/src/p1/remote/recv_img.py new file mode 100644 index 0000000..e2eb16f --- /dev/null +++ b/src/p1/remote/recv_img.py @@ -0,0 +1,78 @@ +# -*- coding=utf-8 -*- + +""" +file: recv.py +socket service +""" +import socket +import threading +import time +import sys +import os +import struct + +import cv2 +import numpy as np + +import Gramhands + +mhand=Gramhands.remote_mhands() + +def socket_service(): + try: + s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind(('127.0.0.1', 6666)) + s.listen(10) + except socket.error as msg: + print(msg) + sys.exit(1) + print('Waiting connection...') + + while 1: + conn, addr = s.accept() + t = threading.Thread(target=deal_data, args=(conn, addr)) + t.start() + + +def deal_data(conn, addr): + print('Accept new connection from {0}'.format(addr)) + # conn.settimeout(500) + conn.send('Hi, Welcome to the server!'.encode("utf-8")) + + while 1: + buffer_data=bytes() + + fileinfo_size = struct.calcsize('128sl') + buf = conn.recv(fileinfo_size) + if buf: + filename, filesize = struct.unpack('128sl', buf) + + recvd_size = 0 # 定义已接收文件的大小 + now_tim=time.time() + now_tim=str(int(now_tim)) + fp = open(now_tim+".png", 'wb') + + while not recvd_size == filesize: + if filesize - recvd_size > 1024: + data = conn.recv(1024) + buffer_data+=data + recvd_size += len(data) + else: + data = conn.recv(filesize - recvd_size) + recvd_size = filesize + fp.write(data) + fp.close() + print('end receive...') + img_np_arr = np.frombuffer(buffer_data, np.uint8) + image = cv2.imdecode(img_np_arr, cv2.IMREAD_COLOR) + strs=mhand.recv(image) + print(strs) + conn.send('已发送'.encode("utf-8")) + print(conn.recv(1024).decode('utf-8')) + conn.close() + break + + +if __name__ == '__main__': + socket_service() \ No newline at end of file diff --git a/src/p1/remote/return.py b/src/p1/remote/return.py new file mode 100644 index 0000000..b40a509 --- /dev/null +++ b/src/p1/remote/return.py @@ -0,0 +1,71 @@ +strs = "INSERT INTO XYZ VALUES (" + + +import cv2 +import mediapipe as mp + +mp_drawing = mp.solutions.drawing_utils +mp_drawing_styles = mp.solutions.drawing_styles +mp_hands = mp.solutions.hands + + +wt = [] +num = 0 +# For webcam input: +input_video="rtmp://127.0.0.1/myapp/demo" + +cap = cv2.VideoCapture(input_video) + +with mp_hands.Hands( + model_complexity=0, + max_num_hands=2, + min_detection_confidence=0.5, + min_tracking_confidence=0.5) as hands: + while cap.isOpened(): + success, image = cap.read() + if not success: + print("Ignoring empty camera frame.") + continue + + # To improve performance, optionally mark the image as not writeable to + # pass by reference. + image.flags.writeable = False + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + results = hands.process(image) + + # Draw the hand annotations on the image. + image.flags.writeable = True + image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) + if results.multi_hand_landmarks: + wt = [] + for i in range(42 * 3): + wt.append(0) + for i,hand_landmarks in enumerate(results.multi_hand_landmarks): + if (results.multi_handedness[i].classification[0].label)=="Left": + num = 0 + else: + num =1 + for j,handlms in enumerate(hand_landmarks.landmark): + wt[num*21*3+j*3],wt[num*21*3+j*3+1],wt[num*21*3+j*3+2] = handlms.x, handlms.y, handlms.z + mp_drawing.draw_landmarks( + image, + hand_landmarks, + mp_hands.HAND_CONNECTIONS, + mp_drawing_styles.get_default_hand_landmarks_style(), + mp_drawing_styles.get_default_hand_connections_style()) + # Flip the image horizontally for a selfie-view display. + cv2.imshow('MediaPipe Hands', cv2.flip(image, 1)) + ctl = cv2.waitKey(5) + if ctl == ord('q'): + break + elif ctl==ord('s'): + strs="" + print(wt) + for i in wt: + strs+=str(i)[:7]+"," + strs = strs[:-1] + # print(strs) +cap.release() + + +print ("数据插入成功") \ No newline at end of file diff --git a/src/p1/remote/send.py b/src/p1/remote/send.py new file mode 100644 index 0000000..6fd2967 --- /dev/null +++ b/src/p1/remote/send.py @@ -0,0 +1,116 @@ +# limit the number of cpus used by high performance libraries +import sys +import os +import subprocess +from concurrent.futures import ThreadPoolExecutor + +os.environ["OMP_NUM_THREADS"] = "1" +os.environ["OPENBLAS_NUM_THREADS"] = "1" +os.environ["MKL_NUM_THREADS"] = "1" +os.environ["VECLIB_MAXIMUM_THREADS"] = "1" +os.environ["NUMEXPR_NUM_THREADS"] = "1" + +sys.path.insert(0, './yolov5') + +import socket + +sk = socket.socket() +address = ('', 12001) +sk.bind(address) # 将本地地址与一个socket绑定在一起 +sk.listen(3) # 最多允许有3个客户称呼 +l_x, l_y, l_z = 69, 69, 81 +target = 1000000 +# 1440 1088 +# ####################################################################################################################### +import cv2 + +input_video="rtmp://127.0.0.1/myapp/demo" +#读取视频并获取视频帧率、分辨率、总帧数 +VideoCapture = cv2.VideoCapture(input_video) +fps = VideoCapture.get(cv2.CAP_PROP_FPS) +size = (int(VideoCapture.get(cv2.CAP_PROP_FRAME_WIDTH)), + int(VideoCapture.get(cv2.CAP_PROP_FRAME_HEIGHT))) +totalFrames = int(VideoCapture.get(7)) + +#创建新视频 + +x=10 #水印坐标 +y=10 #水印坐标 +i=1 +step_x=5 +step_y=5 + +success,frame = VideoCapture.read() #读取视频第一帧 +print("第"+str(i)+"帧, 共"+str(totalFrames)+"帧") + +threadPool = ThreadPoolExecutor( + max_workers=500, thread_name_prefix="push_stream_") + +def push_stream(pipe, frame): + pipe.stdin.write(frame.tobytes()) + +while success: + stream_fps = int(fps * 2) + + rtmp = "rtmp://127.0.0.1:1935/myapp/demo2" + + command = ['ffmpeg', + '-y', + '-f', 'rawvideo', + '-vcodec', 'rawvideo', + '-pix_fmt', 'bgr24', + '-s', "{}x{}".format(size[0], + size[1]), + '-r', str(stream_fps), + '-i', '-', + '-c:v', 'libx264', + '-pix_fmt', 'yuv420p', + '-preset', 'ultrafast', + '-max_delay', '2000', # 100 + '-g', str(int(fps)), + '-b:v', '99999999', + '-f', 'flv', + '-vprofile', 'baseline', + rtmp] + + pipe = subprocess.Popen(command, stdin=subprocess.PIPE) + + if True: + threadPool.submit(push_stream, pipe, frame) + success,frame = VideoCapture.read() + + +print ('Quitted!') #提示程序已停止 +cv2.destroyAllWindows() #程序停止前关闭所有窗口 + +def detect(opt): + # 获取输出文件夹，输入源，权重，参数等参数 + + # stream_fps = 30 if dataset.fps[0] * 2 > 30 else dataset.fps[0]*2 + stream_fps = int(fps * 2) + + rtmp = "rtmp:127.0.0.1/vediostream/livestream" + + command = ['ffmpeg', + '-y', + '-f', 'rawvideo', + '-vcodec', 'rawvideo', + '-pix_fmt', 'bgr24', + '-s', "{}x{}".format(size[0], + size[1]), + '-r', str(stream_fps), + '-i', '-', + '-c:v', 'libx264', + '-pix_fmt', 'yuv420p', + '-preset', 'ultrafast', + '-max_delay', '2000', # 100 + '-g', str(int(fps)), + '-b:v', '99999999', + '-f', 'flv', + '-vprofile', 'baseline', + rtmp] + + pipe = subprocess.Popen(command, stdin=subprocess.PIPE) + + if True: + threadPool.submit(push_stream, pipe, frame) diff --git a/src/p1/remote/send_img.py b/src/p1/remote/send_img.py new file mode 100644 index 0000000..f3a9099 --- /dev/null +++ b/src/p1/remote/send_img.py @@ -0,0 +1,59 @@ +# -*- coding=utf-8 -*- + +""" +file: send.py +socket client +""" + +import socket +import os +import sys +import struct +import cv2 + +capture = cv2.VideoCapture(0) + + +def socket_client(): + try: + s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + s.connect(('127.0.0.1', 6666)) + except socket.error as msg: + print(msg) + sys.exit(1) + + print(s.recv(1024).decode("utf-8")) + + while 1: + + filepath = "./demo.png" # 获取选择的文件名称 + print(filepath) + + # filepath = input('please input file path: ') + if os.path.isfile(filepath): + # 定义定义文件信息。128s表示文件名为128bytes长，l表示一个int或log文件类型，在此为文件大小 + fileinfo_size = struct.calcsize('128sl') + # 定义文件头信息，包含文件名和文件大小 + fhead = struct.pack( + '128sl', + os.path.basename(filepath).encode(encoding="utf-8"), + os.stat(filepath).st_size + ) + print('client filepath: {0}'.format(filepath)) + s.send(fhead) + + fp = open(filepath, 'rb') + while 1: + data = fp.read(1024) + if not data: + print('{0} file send over...'.format(filepath)) + break + s.send(data) + print(s.recv(1024).decode("utf-8")) + print(s.recv(1024).decode("utf-8")) + s.close() + break + + +if __name__ == '__main__': + socket_client() \ No newline at end of file diff --git a/src/p1/remote/track_3.py b/src/p1/remote/track_3.py new file mode 100644 index 0000000..9c8332a --- /dev/null +++ b/src/p1/remote/track_3.py @@ -0,0 +1,510 @@ +# limit the number of cpus used by high performance libraries +import sys +import os +from threading import Thread + +from sympy import false +os.environ["OMP_NUM_THREADS"] = "1" +os.environ["OPENBLAS_NUM_THREADS"] = "1" +os.environ["MKL_NUM_THREADS"] = "1" +os.environ["VECLIB_MAXIMUM_THREADS"] = "1" +os.environ["NUMEXPR_NUM_THREADS"] = "1" + + +sys.path.insert(0, './yolov5') + +import subprocess +from yolov5.utils.torch_utils import select_device, time_sync +from yolov5.utils.plots import Annotator, colors, save_one_box +from yolov5.utils.general import (LOGGER, check_img_size, check_imshow, + colorstr, increment_path, + non_max_suppression, scale_coords, + strip_optimizer, xyxy2xywh) +from yolov5.utils.downloads import attempt_download +from yolov5.utils.datasets import VID_FORMATS, LoadImages, LoadStreams +from yolov5.models.experimental import attempt_load +from yolov5.models.common import DetectMultiBackend +from deep_sort.utils.parser import get_config +from deep_sort.deep_sort import DeepSort +import torch.backends.cudnn as cudnn +import torch +import numpy as np +import cv2 +from pathlib import Path +import time +import shutil +import platform +import argparse + +from concurrent.futures import ThreadPoolExecutor + +import socket + +sk = socket.socket() +address = ('', 12001) +sk.bind(address) # 将本地地址与一个socket绑定在一起 +sk.listen(3) # 最多允许有3个客户称呼 +l_x,l_y,l_z=69,69,81 +target=1000000 +def recv(): + while True: + conn, addr = sk.accept() + global target + data = conn.recv(1024) # 缓冲区大小，接收文件的个数 第一次获取请求 + target = data.decode('utf-8') + LOGGER.info(target) + +# 1440 1088 +# ######################################################################################################################### +def find(bbox,img_size): + global l_x,l_y,l_z + x = (bbox[0]+bbox[2])//2 + z = (bbox[1]+bbox[3])//2 + y = (bbox[3]-bbox[1]) + c_x=69 + if x < 426: + c_x=37 + elif x < 852: + c_x = 69 + else: + c_x = 39 + + + c_z = 81 + if z < 426: + c_z = 87 + elif z < 852: + c_z = 81 + else: + c_z = 83 + + c_y = 69 + if y < 320: + c_y=38 + elif y <640: + c_y=69 + else: + c_y=40 + + + print(" ") + print(c_x," ",c_y," ",c_z) + print(" ") + send_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + + if l_x!=69: + send_socket.connect(("", 12000)) + send_socket.send(str(c_x).encode('utf-8')) + print("cx:", c_x) + elif l_y!=69: + send_socket.connect(("", 12000)) + send_socket.send(str(c_y).encode('utf-8')) + print("cy:", c_y) + elif l_z!=81: + send_socket.connect(("", 12000)) + send_socket.send(str(c_z).encode('utf-8')) + print("cz:",c_z) + l_x = c_x + l_y = c_y + l_z = c_z + +threadPool = ThreadPoolExecutor( + max_workers=500, thread_name_prefix="push_stream_") + +FILE = Path(__file__).resolve() +ROOT = FILE.parents[0] # yolov5 deepsort root directory +if str(ROOT) not in sys.path: + sys.path.append(str(ROOT)) # add ROOT to PATH +ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative + + +def push_stream(pipe, frame): + pipe.stdin.write(frame.tobytes()) + + +def detect(opt): + # 获取输出文件夹，输入源，权重，参数等参数 + out, source, yolo_model, deep_sort_model, show_vid, show_stream, save_vid, save_txt, imgsz, evaluate, half, \ + project, exist_ok, update, save_crop = \ + opt.output, opt.source, opt.yolo_model, opt.deep_sort_model, opt.show_vid, opt.show_stream, opt.save_vid, \ + opt.save_txt, opt.imgsz, opt.evaluate, opt.half, opt.project, opt.exist_ok, opt.update, opt.save_crop + # print(source) + webcam = source == '0' or source.startswith( + 'rtsp') or source.startswith('http') or source.endswith('.txt') + rtmp_stream = source.startswith('rtmp') + + # Initialize + # 获取设备 + device = select_device(opt.device) + # /////////////////////////////////////////////////////////////////////////# + # 如果设备为gpu，使用Float16 + half &= device.type != 'cpu' # half precision only supported on CUDA + # half &= device.type != 'gpu' # half precision only supported on CUDA + # /////////////////////////////////////////////////////////////////////////# + + # The MOT16 evaluation runs multiple inference streams in parallel, each one writing to + # its own .txt file. Hence, in that case, the output folder is not restored + if not evaluate: + if os.path.exists(out): + pass + shutil.rmtree(out) # delete output folder + os.makedirs(out) # make new output folder + + # Directories + if type(yolo_model) is str: # single yolo model + exp_name = yolo_model.split(".")[0] + elif type(yolo_model) is list and len(yolo_model) == 1: # single models after --yolo_model + exp_name = yolo_model[0].split(".")[0] + else: # multiple models after --yolo_model + exp_name = "ensemble" + exp_name = exp_name + "_" + deep_sort_model.split('/')[-1].split('.')[0] + # increment run if project name exists + save_dir = increment_path(Path(project) / exp_name, exist_ok=exist_ok) + (save_dir / 'tracks' if save_txt else save_dir).mkdir(parents=True, + exist_ok=True) # make dir + + # Load model + model = DetectMultiBackend(yolo_model, device=device, dnn=opt.dnn) + stride, names, pt = model.stride, model.names, model.pt + imgsz = check_img_size(imgsz, s=stride) # check image size + + # Half + # half precision only supported by PyTorch on CUDA + half &= pt and device.type != 'cpu' + if pt: + model.model.half() if half else model.model.float() + + # Set Dataloader + # 通过不同的输入源来设置不同的数据加载方式 + vid_path, vid_writer = None, None + # Check if environment supports image displays + if show_vid: + show_vid = check_imshow() + + if show_stream: + show_stream = check_imshow() + + # Dataloader + if webcam: + show_vid = check_imshow() + cudnn.benchmark = True # set True to speed up constant image size inference + dataset = LoadStreams(source, img_size=imgsz, stride=stride, auto=pt) + nr_sources = len(dataset) + elif rtmp_stream: + cudnn.benchmark = True + dataset = LoadStreams(source, img_size=imgsz, stride=stride, auto=pt) + nr_sources = len(dataset) + else: + dataset = LoadImages(source, img_size=imgsz, stride=stride, auto=pt) + nr_sources = 1 + vid_path, vid_writer, txt_path = [ + None] * nr_sources, [None] * nr_sources, [None] * nr_sources + th = Thread(target=recv) + th.start() + # initialize deepsort + cfg = get_config() + cfg.merge_from_file(opt.config_deepsort) + + # Create as many trackers as there are video sources + deepsort_list = [] + for i in range(nr_sources): + deepsort_list.append( + DeepSort( + deep_sort_model, + device, + max_dist=cfg.DEEPSORT.MAX_DIST, + max_iou_distance=cfg.DEEPSORT.MAX_IOU_DISTANCE, + max_age=cfg.DEEPSORT.MAX_AGE, n_init=cfg.DEEPSORT.N_INIT, nn_budget=cfg.DEEPSORT.NN_BUDGET, + ) + ) + outputs = [None] * nr_sources + + # Get names and colors + names = model.module.names if hasattr(model, 'module') else model.names + + # Run tracking + model.warmup(imgsz=(1 if pt else nr_sources, 3, *imgsz)) # warmup + dt, seen = [0.0, 0.0, 0.0, 0.0], 0 + + print(dataset.vediosize) + # stream_fps = 30 if dataset.fps[0] * 2 > 30 else dataset.fps[0]*2 + stream_fps = int(dataset.fps[0]*2) + tmp_g = int(dataset.fps[0]/4) + print(stream_fps) + + rtmp = "rtmp:127.0.0.1/vediostream/livestream" + command = ['ffmpeg', + '-y', + '-f', 'rawvideo', + '-vcodec', 'rawvideo', + '-pix_fmt', 'bgr24', + '-s', "{}x{}".format(dataset.vediosize[0], + dataset.vediosize[1]), + '-r', str(stream_fps), + '-i', '-', + '-c:v', 'libx264', + '-pix_fmt', 'yuv420p', + '-preset', 'ultrafast', + '-max_delay', '2000', # 100 + '-g', str(int(dataset.fps[0])), + '-b:v', '99999999', + '-f', 'flv', + '-vprofile', 'baseline', + rtmp] + + pipe = subprocess.Popen(command, stdin=subprocess.PIPE) + + # fourcc = cv2.VideoWriter_fourcc('F','L','V','1') #opencv3.0 + # videoWriter = cv2.VideoWriter('output2.mp4', fourcc, 24, (1280, 536)) + + count_frame = 0 + """ + path 图片/视频路径 + img进行resize+pad之后的图片 + im0s 原size图片 + vid_cap 当读取图片时为None，读取视频时为视频源 + """ + for frame_idx, (path, im, im0s, vid_cap, s) in enumerate(dataset): + count_frame += 1 + t1 = time_sync() + im = torch.from_numpy(im).to(device) + im = im.half() if half else im.float() # uint8 to fp16/32 + im /= 255.0 # 0 - 255 to 0.0 - 1.0 + if len(im.shape) == 3: + im = im[None] # expand for batch dim + t2 = time_sync() + dt[0] += t2 - t1 + + # Inference + visualize = increment_path( + save_dir / Path(path[0]).stem, mkdir=True) if opt.visualize else False + """ + 前向传播 返回pred的shape是(1, num_boxes, 5+num_class) + h,w为传入网络图片的长和宽，注意dataset在检测时使用了矩形推理，所以这里h不一定等于w + num_boxes = h/32 * w/32 + h/16 * w/16 + h/8 * w/8 + pred[..., 0:4]为预测框坐标 + 预测框坐标为xywh(中心点+宽长)格式 + pred[..., 4]为objectness置信度 + pred[..., 5:-1]为分类结果 + """ + pred = model(im, augment=opt.augment, visualize=visualize) + t3 = time_sync() + dt[1] += t3 - t2 + + # Apply NMS + """ + pred:前向传播的输出 + conf_thres:置信度阈值 + iou_thres:iou阈值 + classes:是否只保留特定的类别 + agnostic:进行nms是否也去除不同类别之间的框 + 经过nms之后,预测框格式:xywh-->xyxy(左上角右下角) + pred是一个列表list[torch.tensor],长度为batch_size + 每一个torch.tensor的shape为(num_boxes, 6),内容为box+conf+cls + """ + pred = non_max_suppression( + pred, opt.conf_thres, opt.iou_thres, opt.classes, opt.agnostic_nms, max_det=opt.max_det) + dt[2] += time_sync() - t3 + + # Process detections + # 对每一张图片作处理 + for i, det in enumerate(pred): # detections per image + seen += 1 + # 如果输入源是webcam，则batch_size不为1，取出dataset中的一张图片 + if webcam: # nr_sources >= 1 + p, im0, _ = path[i], im0s[i].copy(), dataset.count + p = Path(p) # to Path + s += f'{i}: ' + # 设置保存框坐标txt文件的路径 + txt_file_name = p.name + # 设置保存图片/视频的路径 + save_path = str(save_dir / p.name) # im.jpg, vid.mp4, ... + elif rtmp_stream: + p, im0, _ = path[i], im0s[i].copy(), dataset.count + p = Path(p) # to Path + s += f'{i}: ' + # 设置保存框坐标txt文件的路径 + txt_file_name = p.name + # 设置保存图片/视频的路径 + save_path = str(save_dir / p.name) + else: + p, im0, _ = path, im0s.copy(), getattr(dataset, 'frame', 0) + p = Path(p) # to Path + # video file + if source.endswith(VID_FORMATS): + # 设置保存框坐标txt文件的路径 + txt_file_name = p.stem + # 设置保存图片/视频的路径 + save_path = str(save_dir / p.name) # im.jpg, vid.mp4, ... + # folder with imgs + else: + # 设置保存框坐标txt文件的路径 + txt_file_name = p.parent.name # get folder name containing current img + # 设置保存图片/视频的路径 + # im.jpg, vid.mp4, ... + save_path = str(save_dir / p.parent.name) + # 设置保存图片/视频的路径 + txt_path = str(save_dir / 'tracks' / txt_file_name) # im.txt + # 设置打印信息(图片长宽) + s += '%gx%g ' % im.shape[2:] # print string + imc = im0.copy() if save_crop else im0 # for save_crop + + annotator = Annotator(im0, line_width=2, pil=not ascii) + + if det is not None and len(det): + # Rescale boxes from img_size to im0 size + # 调整预测框的坐标：基于resize+pad的图片的坐标-->基于原size图片的坐标 + # 此时坐标格式为xyxy + det[:, :4] = scale_coords( + im.shape[2:], det[:, :4], im0.shape).round() + + # Print results + # 打印检测到的类别数量 + for c in det[:, -1].unique(): + n = (det[:, -1] == c).sum() # detections per class + # add to string + s += f"{n} {names[int(c)]}{'s' * (n > 1)}, " + + xywhs = xyxy2xywh(det[:, 0:4]) + confs = det[:, 4] + clss = det[:, 5] + + # pass detections to deepsort + t4 = time_sync() + outputs[i] = deepsort_list[i].update( + xywhs.cpu(), confs.cpu(), clss.cpu(), im0) + t5 = time_sync() + dt[3] += t5 - t4 + + # draw boxes for visualization + # 保存预测结果id 4 + if len(outputs[i]) > 0: + # LOGGER.info("开始寻找"+str(target)) + for j, (output, conf) in enumerate(zip(outputs[i], confs)): + + bboxes = output[0:4] + id = output[4] + if int(id)==int(target): + find(bboxes, dataset.vediosize) + LOGGER.info("开始跟踪目标") + + cls = output[5] + + if save_txt: + # to MOT format + bbox_left = output[0] + bbox_top = output[1] + bbox_w = output[2] - output[0] + bbox_h = output[3] - output[1] + # Write MOT compliant results to file + # with open(txt_path + '.txt', 'a') as f: + # f.write(('%g ' * 10 + '\n') % (frame_idx + 1, id, bbox_left, # MOT format + # bbox_top, bbox_w, bbox_h, -1, -1, -1, i)) + # 在原图上画框 + if save_vid or save_crop or show_vid or show_stream: # Add bbox to image + c = int(cls) # integer class + label = f'{id} {names[c]} {conf:.2f}' + annotator.box_label( + bboxes, label, color=colors(c, True)) + if save_crop: + txt_file_name = txt_file_name if ( + isinstance(path, list) and len(path) > 1) else '' + save_one_box(bboxes, imc, file=save_dir / 'crops' / + txt_file_name / names[c] / f'{id}' / f'{p.stem}.jpg', BGR=True) + + # LOGGER.info( + # f'{s}Done. YOLO:({t3 - t2:.3f}s), DeepSort:({t5 - t4:.3f}s)') + else: + deepsort_list[i].increment_ages() + # LOGGER.info('No detections') + + # Stream results + im0 = annotator.result() + + # 如果设置展示，则show图片/视频 + if show_vid: + cv2.imshow(str(p), im0) + cv2.waitKey(1) # 1 millisecond + # pass + + # ############################################ + if show_stream: + # print() + threadPool.submit(push_stream, pipe, im0) + # pipe.stdin.write(im0.tobytes()) + # videoWriter.write(im0) + + # ############################################ + + # Save results (image with detections) + # 设置保存图片/视频 + if save_vid: + if vid_path[i] != save_path: # new video + vid_path[i] = save_path + if isinstance(vid_writer[i], cv2.VideoWriter): + # release previous video writer + vid_writer[i].release() + if vid_cap: # video + fps = vid_cap.get(cv2.CAP_PROP_FPS) + w = int(vid_cap.get(cv2.CAP_PROP_FRAME_WIDTH)) + h = int(vid_cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) + else: # stream + fps, w, h = 30, im0.shape[1], im0.shape[0] + # force *.mp4 suffix on results videos + save_path = str(Path(save_path).with_suffix('.mp4')) + vid_writer[i] = cv2.VideoWriter( + save_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h)) + vid_writer[i].write(im0) + time.sleep(0.02) + print("Sum is:", count_frame) + # Print results + t = tuple(x / seen * 1E3 for x in dt) # speeds per image + LOGGER.info(f'Speed: %.1fms pre-process, %.1fms inference, %.1fms NMS, %.1fms deep sort update \ + per image at shape {(1, 3, *imgsz)}' % t) + # 打开保存图片和txt的路径(好像只适用于MacOS系统) + if save_txt or save_vid: + s = f"\n{len(list(save_dir.glob('tracks/*.txt')))} tracks saved to {save_dir / 'tracks'}" if save_txt else '' + LOGGER.info(f"Results saved to {colorstr('bold', save_dir)}{s}") + if update: + # update model (to fix SourceChangeWarning) + strip_optimizer(yolo_model) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument('--yolo_model', nargs='+', type=str, + default='best.torchscript', help='model.pt path(s)') + parser.add_argument('--deep_sort_model', type=str, default='osnet_x0_75_msmt17') + # file/folder, 0 for webcam + parser.add_argument('--source', type=str, default='rtmp://localhost/live/livestream', help='source') + parser.add_argument('--output', type=str, default='inference/output', help='output folder') # output folder + parser.add_argument('--imgsz', '--img', '--img-size', nargs='+', type=int, default=[640], help='inference size h,w') + parser.add_argument('--conf-thres', type=float, default=0.25, help='object confidence threshold') + parser.add_argument('--iou-thres', type=float, default=0.5, help='IOU threshold for NMS') + parser.add_argument('--fourcc', type=str, default='mp4v', help='output video codec (verify ffmpeg support)') + parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu') + parser.add_argument('--show-vid', action='store_true', help='display tracking video results') + parser.add_argument('--show-stream', action='store_true', help='display tracking video stream results') + parser.add_argument('--save-vid', action='store_true', help='save video tracking results') + parser.add_argument('--save-txt', action='store_true', help='save MOT compliant results to *.txt') + # class 0 is person, 1 is bycicle, 2 is car... 79 is oven + parser.add_argument('--classes', default='25', nargs='+', type=int, help='filter by class: --class 0, or --class 16 17') + parser.add_argument('--agnostic-nms', action='store_true', help='class-agnostic NMS') + parser.add_argument('--augment', action='store_true', help='augmented inference') + parser.add_argument('--update', action='store_true', help='update all models') + parser.add_argument('--evaluate', action='store_true', help='augmented inference') + parser.add_argument("--config_deepsort", type=str, default="deep_sort/configs/deep_sort.yaml") + parser.add_argument("--half", action="store_true", help="use FP16 half-precision inference") + parser.add_argument('--visualize', action='store_true', help='visualize features') + parser.add_argument('--max-det', type=int, default=1000, help='maximum detection per image') + parser.add_argument('--save-crop', action='store_true', help='save cropped prediction boxes') + parser.add_argument('--dnn', action='store_true', help='use OpenCV DNN for ONNX inference') + parser.add_argument('--project', default=ROOT / + 'runs/track', help='save results to project/name') + parser.add_argument('--name', default='exp', help='save results to project/name') + parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment') + opt = parser.parse_args() + opt.imgsz *= 2 if len(opt.imgsz) == 1 else 1 # expand + + with torch.no_grad(): + detect(opt) \ No newline at end of file diff --git a/src/p1/tools/calculator_options_pb2.py b/src/p1/tools/calculator_options_pb2.py new file mode 100644 index 0000000..ff3d917 --- /dev/null +++ b/src/p1/tools/calculator_options_pb2.py @@ -0,0 +1,72 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: mediapipe/framework/calculator_options.proto + +import sys +_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) +from google.protobuf import descriptor as _descriptor +from google.protobuf import message as _message +from google.protobuf import reflection as _reflection +from google.protobuf import symbol_database as _symbol_database +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + + + +DESCRIPTOR = _descriptor.FileDescriptor( + name='mediapipe/framework/calculator_options.proto', + package='mediapipe', + syntax='proto2', + serialized_options=_b('\n\032com.google.mediapipe.protoB\026CalculatorOptionsProto'), + serialized_pb=_b('\n,mediapipe/framework/calculator_options.proto\x12\tmediapipe\"9\n\x11\x43\x61lculatorOptions\x12\x18\n\x0cmerge_fields\x18\x01 \x01(\x08\x42\x02\x18\x01*\n\x08\xa0\x9c\x01\x10\x80\x80\x80\x80\x02\x42\x34\n\x1a\x63om.google.mediapipe.protoB\x16\x43\x61lculatorOptionsProto') +) + + + + +_CALCULATOROPTIONS = _descriptor.Descriptor( + name='CalculatorOptions', + full_name='mediapipe.CalculatorOptions', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='merge_fields', full_name='mediapipe.CalculatorOptions.merge_fields', index=0, + number=1, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=_b('\030\001'), file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[], + enum_types=[ + ], + serialized_options=None, + is_extendable=True, + syntax='proto2', + extension_ranges=[(20000, 536870912), ], + oneofs=[ + ], + serialized_start=59, + serialized_end=116, +) + +DESCRIPTOR.message_types_by_name['CalculatorOptions'] = _CALCULATOROPTIONS +_sym_db.RegisterFileDescriptor(DESCRIPTOR) + +CalculatorOptions = _reflection.GeneratedProtocolMessageType('CalculatorOptions', (_message.Message,), dict( + DESCRIPTOR = _CALCULATOROPTIONS, + __module__ = 'mediapipe.framework.calculator_options_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.CalculatorOptions) + )) +_sym_db.RegisterMessage(CalculatorOptions) + + +DESCRIPTOR._options = None +_CALCULATOROPTIONS.fields_by_name['merge_fields']._options = None +# @@protoc_insertion_point(module_scope) diff --git a/src/p1/tools/calculator_pb2.py b/src/p1/tools/calculator_pb2.py new file mode 100644 index 0000000..ea28206 --- /dev/null +++ b/src/p1/tools/calculator_pb2.py @@ -0,0 +1,786 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: mediapipe/framework/calculator.proto + +import sys +_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) +from google.protobuf import descriptor as _descriptor +from google.protobuf import message as _message +from google.protobuf import reflection as _reflection +from google.protobuf import symbol_database as _symbol_database +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + +from mediapipe.framework import calculator_options_pb2 as mediapipe_dot_framework_dot_calculator__options__pb2 +from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 +from mediapipe.framework import mediapipe_options_pb2 as mediapipe_dot_framework_dot_mediapipe__options__pb2 +from mediapipe.framework import packet_factory_pb2 as mediapipe_dot_framework_dot_packet__factory__pb2 +from mediapipe.framework import packet_generator_pb2 as mediapipe_dot_framework_dot_packet__generator__pb2 +from mediapipe.framework import status_handler_pb2 as mediapipe_dot_framework_dot_status__handler__pb2 +from mediapipe.framework import stream_handler_pb2 as mediapipe_dot_framework_dot_stream__handler__pb2 + +from mediapipe.framework.calculator_options_pb2 import * + +DESCRIPTOR = _descriptor.FileDescriptor( + name='mediapipe/framework/calculator.proto', + package='mediapipe', + syntax='proto3', + serialized_options=_b('\n\032com.google.mediapipe.protoB\017CalculatorProto'), + serialized_pb=_b('\n$mediapipe/framework/calculator.proto\x12\tmediapipe\x1a,mediapipe/framework/calculator_options.proto\x1a\x19google/protobuf/any.proto\x1a+mediapipe/framework/mediapipe_options.proto\x1a(mediapipe/framework/packet_factory.proto\x1a*mediapipe/framework/packet_generator.proto\x1a(mediapipe/framework/status_handler.proto\x1a(mediapipe/framework/stream_handler.proto\"Z\n\x0e\x45xecutorConfig\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0c\n\x04type\x18\x02 \x01(\t\x12,\n\x07options\x18\x03 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type=None), + _descriptor.EnumValueDescriptor( + name='RECORDIO', index=1, number=1, + serialized_options=None, + type=None), + _descriptor.EnumValueDescriptor( + name='FOREIGN_RECORDIO', index=2, number=2, + serialized_options=None, + type=None), + _descriptor.EnumValueDescriptor( + name='FOREIGN_CSV_TEXT', index=3, number=3, + serialized_options=None, + type=None), + _descriptor.EnumValueDescriptor( + name='INVALID_UPPER_BOUND', index=4, number=4, + serialized_options=None, + type=None), + ], + containing_type=None, + serialized_options=None, + serialized_start=598, + serialized_end=705, +) +_sym_db.RegisterEnumDescriptor(_INPUTCOLLECTION_INPUTTYPE) + + +_EXECUTORCONFIG = _descriptor.Descriptor( + name='ExecutorConfig', + full_name='mediapipe.ExecutorConfig', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='name', full_name='mediapipe.ExecutorConfig.name', index=0, + number=1, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='type', full_name='mediapipe.ExecutorConfig.type', index=1, + number=2, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='options', full_name='mediapipe.ExecutorConfig.options', index=2, + number=3, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[], + enum_types=[ + ], + serialized_options=None, + is_extendable=False, + syntax='proto3', + extension_ranges=[], + oneofs=[ + ], + serialized_start=339, + serialized_end=429, +) + + +_INPUTCOLLECTION = _descriptor.Descriptor( + name='InputCollection', + full_name='mediapipe.InputCollection', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='name', full_name='mediapipe.InputCollection.name', index=0, + number=1, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='side_packet_name', full_name='mediapipe.InputCollection.side_packet_name', index=1, + number=2, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='external_input_name', full_name='mediapipe.InputCollection.external_input_name', index=2, + number=1002, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_type', full_name='mediapipe.InputCollection.input_type', index=3, + number=3, type=14, cpp_type=8, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='file_name', full_name='mediapipe.InputCollection.file_name', index=4, + number=4, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[], + enum_types=[ + _INPUTCOLLECTION_INPUTTYPE, + ], + serialized_options=None, + is_extendable=False, + syntax='proto3', + extension_ranges=[], + oneofs=[ + ], + serialized_start=432, + serialized_end=705, +) + + +_INPUTCOLLECTIONSET = _descriptor.Descriptor( + name='InputCollectionSet', + full_name='mediapipe.InputCollectionSet', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='input_collection', full_name='mediapipe.InputCollectionSet.input_collection', index=0, + number=1, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[], + enum_types=[ + ], + serialized_options=None, + is_extendable=False, + syntax='proto3', + extension_ranges=[], + oneofs=[ + ], + serialized_start=707, + serialized_end=781, +) + + +_INPUTSTREAMINFO = _descriptor.Descriptor( + name='InputStreamInfo', + full_name='mediapipe.InputStreamInfo', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='tag_index', full_name='mediapipe.InputStreamInfo.tag_index', index=0, + number=1, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='back_edge', full_name='mediapipe.InputStreamInfo.back_edge', index=1, + number=2, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[], + enum_types=[ + ], + serialized_options=None, + is_extendable=False, + syntax='proto3', + extension_ranges=[], + oneofs=[ + ], + serialized_start=783, + serialized_end=838, +) + + +_PROFILERCONFIG = _descriptor.Descriptor( + name='ProfilerConfig', + full_name='mediapipe.ProfilerConfig', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='histogram_interval_size_usec', full_name='mediapipe.ProfilerConfig.histogram_interval_size_usec', index=0, + number=1, type=3, cpp_type=2, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='num_histogram_intervals', full_name='mediapipe.ProfilerConfig.num_histogram_intervals', index=1, + number=2, type=3, cpp_type=2, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='enable_input_output_latency', full_name='mediapipe.ProfilerConfig.enable_input_output_latency', index=2, + number=3, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=_b('\030\001'), file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='enable_profiler', full_name='mediapipe.ProfilerConfig.enable_profiler', index=3, + number=4, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='enable_stream_latency', full_name='mediapipe.ProfilerConfig.enable_stream_latency', index=4, + number=5, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='use_packet_timestamp_for_added_packet', full_name='mediapipe.ProfilerConfig.use_packet_timestamp_for_added_packet', index=5, + number=6, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_capacity', full_name='mediapipe.ProfilerConfig.trace_log_capacity', index=6, + number=7, type=3, cpp_type=2, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_event_types_disabled', full_name='mediapipe.ProfilerConfig.trace_event_types_disabled', index=7, + number=8, type=5, cpp_type=1, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_path', full_name='mediapipe.ProfilerConfig.trace_log_path', index=8, + number=9, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_count', full_name='mediapipe.ProfilerConfig.trace_log_count', index=9, + number=10, type=5, cpp_type=1, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_interval_usec', full_name='mediapipe.ProfilerConfig.trace_log_interval_usec', index=10, + number=11, type=3, cpp_type=2, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_margin_usec', full_name='mediapipe.ProfilerConfig.trace_log_margin_usec', index=11, + number=12, type=3, cpp_type=2, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_duration_events', full_name='mediapipe.ProfilerConfig.trace_log_duration_events', index=12, + number=13, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=_b('\030\001'), file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_interval_count', full_name='mediapipe.ProfilerConfig.trace_log_interval_count', index=13, + number=14, type=5, cpp_type=1, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_disabled', full_name='mediapipe.ProfilerConfig.trace_log_disabled', index=14, + number=15, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_enabled', full_name='mediapipe.ProfilerConfig.trace_enabled', index=15, + number=16, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='trace_log_instant_events', full_name='mediapipe.ProfilerConfig.trace_log_instant_events', index=16, + number=17, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='calculator_filter', full_name='mediapipe.ProfilerConfig.calculator_filter', index=17, + number=18, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[], + enum_types=[ + ], + serialized_options=None, + is_extendable=False, + syntax='proto3', + extension_ranges=[], + oneofs=[ + ], + serialized_start=841, + serialized_end=1434, +) + + +_CALCULATORGRAPHCONFIG_NODE = _descriptor.Descriptor( + name='Node', + full_name='mediapipe.CalculatorGraphConfig.Node', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='name', full_name='mediapipe.CalculatorGraphConfig.Node.name', index=0, + number=1, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='calculator', full_name='mediapipe.CalculatorGraphConfig.Node.calculator', index=1, + number=2, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_stream', full_name='mediapipe.CalculatorGraphConfig.Node.input_stream', index=2, + number=3, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='output_stream', full_name='mediapipe.CalculatorGraphConfig.Node.output_stream', index=3, + number=4, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_side_packet', full_name='mediapipe.CalculatorGraphConfig.Node.input_side_packet', index=4, + number=5, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='output_side_packet', full_name='mediapipe.CalculatorGraphConfig.Node.output_side_packet', index=5, + number=6, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='options', full_name='mediapipe.CalculatorGraphConfig.Node.options', index=6, + number=7, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='node_options', full_name='mediapipe.CalculatorGraphConfig.Node.node_options', index=7, + number=8, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='source_layer', full_name='mediapipe.CalculatorGraphConfig.Node.source_layer', index=8, + number=9, type=5, cpp_type=1, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='buffer_size_hint', full_name='mediapipe.CalculatorGraphConfig.Node.buffer_size_hint', index=9, + number=10, type=5, cpp_type=1, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_stream_handler', full_name='mediapipe.CalculatorGraphConfig.Node.input_stream_handler', index=10, + number=11, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='output_stream_handler', full_name='mediapipe.CalculatorGraphConfig.Node.output_stream_handler', index=11, + number=12, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_stream_info', full_name='mediapipe.CalculatorGraphConfig.Node.input_stream_info', index=12, + number=13, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='executor', full_name='mediapipe.CalculatorGraphConfig.Node.executor', index=13, + number=14, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='profiler_config', full_name='mediapipe.CalculatorGraphConfig.Node.profiler_config', index=14, + number=15, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=_b('\030\001'), file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='max_in_flight', full_name='mediapipe.CalculatorGraphConfig.Node.max_in_flight', index=15, + number=16, type=5, cpp_type=1, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='option_value', full_name='mediapipe.CalculatorGraphConfig.Node.option_value', index=16, + number=17, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='external_input', full_name='mediapipe.CalculatorGraphConfig.Node.external_input', index=17, + number=1005, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[], + enum_types=[ + ], + serialized_options=None, + is_extendable=False, + syntax='proto3', + extension_ranges=[], + oneofs=[ + ], + serialized_start=2215, + serialized_end=2829, +) + +_CALCULATORGRAPHCONFIG = _descriptor.Descriptor( + name='CalculatorGraphConfig', + full_name='mediapipe.CalculatorGraphConfig', + filename=None, + file=DESCRIPTOR, + containing_type=None, + fields=[ + _descriptor.FieldDescriptor( + name='node', full_name='mediapipe.CalculatorGraphConfig.node', index=0, + number=1, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='packet_factory', full_name='mediapipe.CalculatorGraphConfig.packet_factory', index=1, + number=6, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='packet_generator', full_name='mediapipe.CalculatorGraphConfig.packet_generator', index=2, + number=7, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='num_threads', full_name='mediapipe.CalculatorGraphConfig.num_threads', index=3, + number=8, type=5, cpp_type=1, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='status_handler', full_name='mediapipe.CalculatorGraphConfig.status_handler', index=4, + number=9, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_stream', full_name='mediapipe.CalculatorGraphConfig.input_stream', index=5, + number=10, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='output_stream', full_name='mediapipe.CalculatorGraphConfig.output_stream', index=6, + number=15, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_side_packet', full_name='mediapipe.CalculatorGraphConfig.input_side_packet', index=7, + number=16, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='output_side_packet', full_name='mediapipe.CalculatorGraphConfig.output_side_packet', index=8, + number=17, type=9, cpp_type=9, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='max_queue_size', full_name='mediapipe.CalculatorGraphConfig.max_queue_size', index=9, + number=11, type=5, cpp_type=1, label=1, + has_default_value=False, default_value=0, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='report_deadlock', full_name='mediapipe.CalculatorGraphConfig.report_deadlock', index=10, + number=21, type=8, cpp_type=7, label=1, + has_default_value=False, default_value=False, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='input_stream_handler', full_name='mediapipe.CalculatorGraphConfig.input_stream_handler', index=11, + number=12, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='output_stream_handler', full_name='mediapipe.CalculatorGraphConfig.output_stream_handler', index=12, + number=13, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='executor', full_name='mediapipe.CalculatorGraphConfig.executor', index=13, + number=14, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='profiler_config', full_name='mediapipe.CalculatorGraphConfig.profiler_config', index=14, + number=18, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='package', full_name='mediapipe.CalculatorGraphConfig.package', index=15, + number=19, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='type', full_name='mediapipe.CalculatorGraphConfig.type', index=16, + number=20, type=9, cpp_type=9, label=1, + has_default_value=False, default_value=_b("").decode('utf-8'), + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='options', full_name='mediapipe.CalculatorGraphConfig.options', index=17, + number=1001, type=11, cpp_type=10, label=1, + has_default_value=False, default_value=None, + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + _descriptor.FieldDescriptor( + name='graph_options', full_name='mediapipe.CalculatorGraphConfig.graph_options', index=18, + number=1002, type=11, cpp_type=10, label=3, + has_default_value=False, default_value=[], + message_type=None, enum_type=None, containing_type=None, + is_extension=False, extension_scope=None, + serialized_options=None, file=DESCRIPTOR), + ], + extensions=[ + ], + nested_types=[_CALCULATORGRAPHCONFIG_NODE, ], + enum_types=[ + ], + serialized_options=None, + is_extendable=False, + syntax='proto3', + extension_ranges=[], + oneofs=[ + ], + serialized_start=1437, + serialized_end=2829, +) + +_EXECUTORCONFIG.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_mediapipe__options__pb2._MEDIAPIPEOPTIONS +_INPUTCOLLECTION.fields_by_name['input_type'].enum_type = _INPUTCOLLECTION_INPUTTYPE +_INPUTCOLLECTION_INPUTTYPE.containing_type = _INPUTCOLLECTION +_INPUTCOLLECTIONSET.fields_by_name['input_collection'].message_type = _INPUTCOLLECTION +_CALCULATORGRAPHCONFIG_NODE.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_calculator__options__pb2._CALCULATOROPTIONS +_CALCULATORGRAPHCONFIG_NODE.fields_by_name['node_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY +_CALCULATORGRAPHCONFIG_NODE.fields_by_name['input_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._INPUTSTREAMHANDLERCONFIG +_CALCULATORGRAPHCONFIG_NODE.fields_by_name['output_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._OUTPUTSTREAMHANDLERCONFIG +_CALCULATORGRAPHCONFIG_NODE.fields_by_name['input_stream_info'].message_type = _INPUTSTREAMINFO +_CALCULATORGRAPHCONFIG_NODE.fields_by_name['profiler_config'].message_type = _PROFILERCONFIG +_CALCULATORGRAPHCONFIG_NODE.containing_type = _CALCULATORGRAPHCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['node'].message_type = _CALCULATORGRAPHCONFIG_NODE +_CALCULATORGRAPHCONFIG.fields_by_name['packet_factory'].message_type = mediapipe_dot_framework_dot_packet__factory__pb2._PACKETFACTORYCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['packet_generator'].message_type = mediapipe_dot_framework_dot_packet__generator__pb2._PACKETGENERATORCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['status_handler'].message_type = mediapipe_dot_framework_dot_status__handler__pb2._STATUSHANDLERCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['input_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._INPUTSTREAMHANDLERCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['output_stream_handler'].message_type = mediapipe_dot_framework_dot_stream__handler__pb2._OUTPUTSTREAMHANDLERCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['executor'].message_type = _EXECUTORCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['profiler_config'].message_type = _PROFILERCONFIG +_CALCULATORGRAPHCONFIG.fields_by_name['options'].message_type = mediapipe_dot_framework_dot_mediapipe__options__pb2._MEDIAPIPEOPTIONS +_CALCULATORGRAPHCONFIG.fields_by_name['graph_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY +DESCRIPTOR.message_types_by_name['ExecutorConfig'] = _EXECUTORCONFIG +DESCRIPTOR.message_types_by_name['InputCollection'] = _INPUTCOLLECTION +DESCRIPTOR.message_types_by_name['InputCollectionSet'] = _INPUTCOLLECTIONSET +DESCRIPTOR.message_types_by_name['InputStreamInfo'] = _INPUTSTREAMINFO +DESCRIPTOR.message_types_by_name['ProfilerConfig'] = _PROFILERCONFIG +DESCRIPTOR.message_types_by_name['CalculatorGraphConfig'] = _CALCULATORGRAPHCONFIG +_sym_db.RegisterFileDescriptor(DESCRIPTOR) + +ExecutorConfig = _reflection.GeneratedProtocolMessageType('ExecutorConfig', (_message.Message,), dict( + DESCRIPTOR = _EXECUTORCONFIG, + __module__ = 'mediapipe.framework.calculator_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.ExecutorConfig) + )) +_sym_db.RegisterMessage(ExecutorConfig) + +InputCollection = _reflection.GeneratedProtocolMessageType('InputCollection', (_message.Message,), dict( + DESCRIPTOR = _INPUTCOLLECTION, + __module__ = 'mediapipe.framework.calculator_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.InputCollection) + )) +_sym_db.RegisterMessage(InputCollection) + +InputCollectionSet = _reflection.GeneratedProtocolMessageType('InputCollectionSet', (_message.Message,), dict( + DESCRIPTOR = _INPUTCOLLECTIONSET, + __module__ = 'mediapipe.framework.calculator_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.InputCollectionSet) + )) +_sym_db.RegisterMessage(InputCollectionSet) + +InputStreamInfo = _reflection.GeneratedProtocolMessageType('InputStreamInfo', (_message.Message,), dict( + DESCRIPTOR = _INPUTSTREAMINFO, + __module__ = 'mediapipe.framework.calculator_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.InputStreamInfo) + )) +_sym_db.RegisterMessage(InputStreamInfo) + +ProfilerConfig = _reflection.GeneratedProtocolMessageType('ProfilerConfig', (_message.Message,), dict( + DESCRIPTOR = _PROFILERCONFIG, + __module__ = 'mediapipe.framework.calculator_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.ProfilerConfig) + )) +_sym_db.RegisterMessage(ProfilerConfig) + +CalculatorGraphConfig = _reflection.GeneratedProtocolMessageType('CalculatorGraphConfig', (_message.Message,), dict( + + Node = _reflection.GeneratedProtocolMessageType('Node', (_message.Message,), dict( + DESCRIPTOR = _CALCULATORGRAPHCONFIG_NODE, + __module__ = 'mediapipe.framework.calculator_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.CalculatorGraphConfig.Node) + )) + , + DESCRIPTOR = _CALCULATORGRAPHCONFIG, + __module__ = 'mediapipe.framework.calculator_pb2' + # @@protoc_insertion_point(class_scope:mediapipe.CalculatorGraphConfig) + )) +_sym_db.RegisterMessage(CalculatorGraphConfig) +_sym_db.RegisterMessage(CalculatorGraphConfig.Node) + + +DESCRIPTOR._options = None +_PROFILERCONFIG.fields_by_name['enable_input_output_latency']._options = None +_PROFILERCONFIG.fields_by_name['trace_log_duration_events']._options = None +_CALCULATORGRAPHCONFIG_NODE.fields_by_name['profiler_config']._options = None +# @@protoc_insertion_point(module_scope) 2294 \ No newline at end of file