study changes

test.py

@@ -234,7 +234,7 @@ if __name__ == '__main__':
     parser = argparse.ArgumentParser(prog='test.py')
     parser.add_argument('--weights', type=str, default='weights/yolov5s.pt', help='model.pt path')
     parser.add_argument('--data', type=str, default='data/coco.yaml', help='*.data path')
-    parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
+    parser.add_argument('--batch-size', type=int, default=32, help='size of each image batch')
     parser.add_argument('--img-size', type=int, default=640, help='inference size (pixels)')
     parser.add_argument('--conf-thres', type=float, default=0.001, help='object confidence threshold')
     parser.add_argument('--iou-thres', type=float, default=0.65, help='IOU threshold for NMS')
@@ -262,13 +262,14 @@ if __name__ == '__main__':
              opt.augment)
 
     elif opt.task == 'study':  # run over a range of settings and save/plot
-        for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt', 'yolov3-spp.pt']:
+        for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt']:
             f = 'study_%s_%s.txt' % (Path(opt.data).stem, Path(weights).stem)  # filename to save to
-            x = list(range(256, 1024, 64))  # x axis
+            x = list(range(288, 896, 64))  # x axis
             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)
                 y.append(r + t)  # results and times
             np.savetxt(f, y, fmt='%10.4g')  # save
-            plot_study_txt(f, x)  # plot
+        os.system('zip -r study.zip study_*.txt')
+        # plot_study_txt(f, x)  # plot