Comments (1)
This is the first time I have received such a detailed and thorough proposal. Thank you very much.
I will try your suggested modifications in the next update. :)
Incidentally, openvino2tensorflow is a tool I dared to start making to compensate for the low conversion performance of onnx-tensorflow, but I made it blindly without much ML knowledge. Thus, the abundance of optimization features is proportional to the low quality of my program.
I myself recognize that the workload required of users is very high due to the abundance of features and error handling. Thus, I have recently started building a new tool that incorporates all of my 2-3 years of model conversion experience.
https://github.com/PINTO0309/onnx2tf
It is probably the most efficient optimization tool among the various tools I have created, and yet it has the lowest conversion error rate.
Instead of updating openvino2tensorflow a little less frequently using my private work time, I try to devote as much time as possible to updating onnx2tf. If you are interested, give it a try, I think it is easier than openvino2tensorflow.
Again, thanks.
from openvino2tensorflow.
Related Issues (20)
- [Consolidate all YOLOv5 issues] YOLOv5 export error `ValueError: axes don't match array` HOT 6
- While converting openvino (xml) to Tensorflow saved_output_model, getting following error.temp_sorted_tf_edge.append(tf_edges[to_layer][ports.index(str(idx))]) IndexError: list index out of range
- error in converting openvino to tflite HOT 5
- C3D model conversion - Depth of input (112) is not a multiple of input depth of filter (3) for '{{node tf.nn.conv3d/Conv3D}} HOT 2
- Refactoring for use as importable package HOT 3
- ScatterUpdate node issue HOT 1
- whisper openvino to tflite(https://huggingface.co/zhuzilin/whisper-openvino-tiny.en/tree/main) HOT 1
- KeyError in channel split HOT 3
- Converting a Yolov5 model to tensorflow HOT 1
- conversion of Yolov7-tiny ends with ERROR: axes don't match array HOT 2
- IndexError: list index out of range HOT 2
- Size discrepancy in conversion HOT 1
- "091_gaze-estimation-adas-0002" failed HOT 2
- Layer data type changes during conversion HOT 1
- Unable to convert yolov8 openvino model to tensorflow HOT 1
- Ranks of all input tensors should match: shape[0] = [1,1] vs. shape[1] = [1] [Op:ConcatV2] name: concat HOT 1
- Error of saving json during converting openvino model to tensorflow with parameter --output_weight_and_json HOT 1
- TypeError: cannot pickle 'module' object HOT 1
- Shape did not match HOT 1
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from openvino2tensorflow.