try_detect

detect.sh

@@ -0,0 +1,3 @@
+python /data6/zhangw/yolov5/detect.py \
+    --weights /data6/zhangw/ZW_gra_project/yolov5_result_pretrained/G0_cub100_yolov5s6_raw_e300/weights/best.rknn \
+    --source /data6/zhangw/ZW_gra_project/CUB_100/images/test/Acadian_Flycatcher_0073_795628.jpg

my_gra_verify/verify_pt.py

@@ -0,0 +1,13 @@
+import torch
+
+model = torch.load("/data6/zhangw/ZW_gra_project/yolov5_result_pretrained/G0_cub100_yolov5s6_raw_e300/weights/best.pt", map_location="cpu")["model"]
+model.eval()
+
+x = torch.randn(1, 3, 640, 640)
+y = model(x)
+
+if isinstance(y, (list, tuple)):
+    for o in y:
+        print(o.shape)
+else:
+    print(y.shape)