rename eval

eval.py

@@ -5,7 +5,7 @@ from models.experimental import *
 from utils.datasets import *
 
 
-def test(data,
+def evaluate(data,
              weights=None,
              batch_size=16,
              imgsz=640,
@@ -254,7 +254,7 @@ if __name__ == '__main__':
     print(opt)
 
     if opt.task in ['val', 'test']:  # run normally
-        test(opt.data,
+        evaluate(opt.data,
                  opt.weights,
                  opt.batch_size,
                  opt.img_size,
@@ -272,7 +272,7 @@ if __name__ == '__main__':
             y = []  # y axis
             for i in x:  # img-size
                 print('\nRunning %s point %s...' % (f, i))
-                r, _, t = test(opt.data, weights, opt.batch_size, i, opt.conf_thres, opt.iou_thres, opt.save_json)
+                r, _, t = evaluate(opt.data, weights, opt.batch_size, i, opt.conf_thres, opt.iou_thres, opt.save_json)
                 y.append(r + t)  # results and times
             np.savetxt(f, y, fmt='%10.4g')  # save
         os.system('zip -r study.zip study_*.txt')

train.py

@@ -291,7 +291,7 @@ def train(hyp):
         ema.update_attr(model, include=['md', 'nc', 'hyp', 'gr', 'names', 'stride'])
         final_epoch = epoch + 1 == epochs
         if not opt.notest or final_epoch:  # Calculate mAP
-            results, maps, times = eval.test(opt.data,
+            results, maps, times = eval.evaluate(opt.data,
                                                  batch_size=batch_size,
                                                  imgsz=imgsz_test,
                                                  save_json=final_epoch and opt.data.endswith(os.sep + 'coco.yaml'),