第一次调试

app/yolov5/models/experimental.py

@@ -72,7 +72,7 @@ class Ensemble(nn.ModuleList):
 
 def attempt_load(weights, device=None, inplace=True, fuse=True):
     # Loads an ensemble of models weights=[a,b,c] or a single model weights=[a] or weights=a
-    from models.yolo import Detect, Model
+    from app.yolov5.models.yolo import Detect, Model
 
     model = Ensemble()
     for w in weights if isinstance(weights, list) else [weights]:

app/yolov5/models/tf.py

@@ -27,12 +27,12 @@ import torch
 import torch.nn as nn
 from tensorflow import keras
 
-from models.common import (C3, SPP, SPPF, Bottleneck, BottleneckCSP, C3x, Concat, Conv, CrossConv, DWConv,
+from app.yolov5.models.common import (C3, SPP, SPPF, Bottleneck, BottleneckCSP, C3x, Concat, Conv, CrossConv, DWConv,
                            DWConvTranspose2d, Focus, autopad)
-from models.experimental import MixConv2d, attempt_load
-from models.yolo import Detect
-from utils.activations import SiLU
-from utils.general import LOGGER, make_divisible, print_args
+from app.yolov5.models.experimental import MixConv2d, attempt_load
+from app.yolov5.models.yolo import Detect
+from app.yolov5.utils.activations import SiLU
+from app.yolov5.utils.general import LOGGER, make_divisible, print_args
 
 
 class TFBN(keras.layers.Layer):