Comments (3)
我后续在转别的模型到tflite的时候,也遇到了这个问题,可能是环境的问题。我会按您的建议再试一下,谢谢!
from onnx_tflite_yolov3.
可否把你的操作步骤简要地贴出来,这样分析问题更方便。
WARNING是警告,按理不应该导致出错的。
从你的出错信息看,prep.py 21行是出错处,但master分支的代码是:
Lines 19 to 26 in dacbe33
master分支代码与你使用的代码不一致。
或许你可以尝试一下在拉去镜像后,重新git clone master分支,再跑一下转换。
from onnx_tflite_yolov3.
另外,如果你希望使用YOLOv5,也有对应的tensorflow转换代码:
ultralytics/yolov5#1127
from onnx_tflite_yolov3.
Related Issues (12)
- pytorch和tensorflow的cudnn冲突? HOT 4
- Can you provide some details about these lines in yolov5_tflite HOT 2
- The detailed commands for building TFLite GPU delegate so files HOT 3
- An Issue when loading OpenGL backend TFLite GPU delegate in Python HOT 3
- Facing problem while converting Darknet weights to ONNX model for YOLOv3 HOT 5
- Segmentation fault(core dump) HOT 2
- Converting unsupported operation: PyFunc HOT 1
- Use of Reshape feature HOT 4
- Error while trying to convert custom built yolov3 model to tflite model HOT 17
- Segmentation fault (core dumped) in detect.py HOT 2
- Doesn't work with anything remotely recent. HOT 2
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from onnx_tflite_yolov3.