test

.github/workflows/ci-testing.yml

@@ -68,10 +68,10 @@ jobs:
           python yolov5/detect.py --weights ${{ matrix.model }}.pt --device $di
           python yolov5/detect.py --weights runs/train/exp/weights/last.pt --device $di
           # test
-          python yolov5/test.py --img 128 --batch 16 --weights ${{ matrix.model }}.pt --device $di
-          python yolov5/test.py --img 128 --batch 16 --weights runs/train/exp/weights/last.pt --device $di
+          # python yolov5/test.py --img 128 --batch 16 --weights ${{ matrix.model }}.pt --device $di
+          # python yolov5/test.py --img 128 --batch 16 --weights runs/train/exp/weights/last.pt --device $di
 
-          python hubconf.py  # hub
-          python yolov5/models/yolo.py --cfg ${{ matrix.model }}.yaml  # inspect
-          python yolov5/export.py --img 128 --batch 1 --weights ${{ matrix.model }}.pt  # export
+          # python hubconf.py  # hub
+          # python yolov5/models/yolo.py --cfg ${{ matrix.model }}.yaml  # inspect
+          # python yolov5/export.py --img 128 --batch 1 --weights ${{ matrix.model }}.pt  # export
         shell: bash

yolov5/detect.py

@@ -186,7 +186,7 @@ def run(weights='yolov5s.pt',  # model.pt path(s)
 def parse_opt():
     parser = argparse.ArgumentParser()
     parser.add_argument('--weights', nargs='+', type=str, default='yolov5s.pt', help='model.pt path(s)')
-    parser.add_argument('--source', type=str, default='data/images', help='file/dir/URL/glob, 0 for webcam')
+    parser.add_argument('--source', type=str, default='yolov5/data/images', help='file/dir/URL/glob, 0 for webcam')
     parser.add_argument('--imgsz', '--img', '--img-size', type=int, default=640, help='inference size (pixels)')
     parser.add_argument('--conf-thres', type=float, default=0.25, help='confidence threshold')
     parser.add_argument('--iou-thres', type=float, default=0.45, help='NMS IoU threshold')