Comments (2)
MPolaris
commented on May 16, 2024
1
But, Cast op was not used in yolov7, maybe you can set 'need_simplify=True' or 'python converter.py --simplify'
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MPolaris
commented on May 16, 2024
oops, it's a bug, you can change 'inputs[i]'(line 288 and 290) in common_layers.py to 'inputs' by yourself, or waiting my updates
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Related Issues (20)
- large difference after adding SE module HOT 1
- ValueError HOT 1
- Convert onnx with dynamic input shape HOT 2
- run torchvision_test， got KeyError: 'Shape not implemented yet' HOT 6
- 尝试把IMDN和RFDN的PyTorch模型转换成.tflite文件，使用AI benchmark APP简单部署在安卓手机测试速度，失败了！！！ HOT 4
- KeyError: 'NonMaxSuppression not implemented yet' (YOLOv7 tiny onnx to tflite) HOT 2
- Dimensional error HOT 3
- Add option to allow for dynamic resize HOT 4
- ValueError: Layer p_re_lu weight shape (1, 1, 32) is not compatible with provided weight shape (32, 1, 1). HOT 3
- Extract score and class_id from converted model HOT 6
- Add setup.py to be installed as a package HOT 2
- Opencv resize method use different axises, which leads to errors during int8 callibration
- onnx converting to tflite got an error, is there any solutions? HOT 3
- max error is too big during conversion HOT 2
- dimension error
- Convert fail Cannot reshape a tensor HOT 1
- yolov5s.onnx转换tflite出错 HOT 2
- Unable to perform 1dconv conversion? HOT 1
- The gpu cannot be used after model conversion HOT 1
- onnx转为tflite 为啥数据类型变成了uint8？ HOT 1
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