Comments (1)
PINTO0309
commented on June 9, 2024
The specifications have remained that way since the beginning. It is a TensorFlow specification rather than a tool issue. Therefore, I am deprecating output by h5.
The situation may not change much, but if you own an onnx, I recommend the following tool, which I have been actively maintaining recently. The conversion efficiency is much higher than openvino2tensorflow.
https://github.com/PINTO0309/onnx2tf
I checked only the structure of the model with Netron, and it looks like a simple model with fairly low conversion difficulty, so it will probably succeed.
I will be out of town for three days starting today and will not be able to operate a PC, so I can only read the text of the issue on my tablet.
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
- bug in layer graph construction 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
- "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.