Comments (3)
Are you sure that error cause by this project?
I can't figure error out occurs on which part...
from onnx2tflite.
Are you sure that error cause by this project? I can't figure error out occurs on which part...
I was convertd to .tflite successfully, and then run that on android => tensorflow lite throw that error.
and now I have an other error when rebuild .tflie
from onnx2tflite.
For error on android, maybe you can try running tflite model on PC firstly, and select lastest or nightly(I guess) version tensorflow.
For last question, it seems your python or tensorflow environment was error, you should reinstall requirments. Tensorflow version >=2.5, recommend 2.8 or 2.9
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Related Issues (20)
- 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
- 模型转换缺少conv3d算子 HOT 3
- 报错
- 模型转换报错
- onnx转tflite 如何让维度保持不变 HOT 1
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