Comments (5)
hello, did you solve this problem?
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Hello. No, not yet resolved.
from spiga.
Anyone managed to solve this issue? Really need to speed up the spiga using onxx :(
from spiga.
Hello. No, not yet resolved.
Please,Now are you solved?
from spiga.
Hello,
I've been having trouble converting this model to ONNX, but I think I've narrowed down the problem to line 189 of the spiga/model/spiga.py file. In this line, the tensor is reshaped, which causes problems during the conversion to ONNX. This is because ONNX needs to know the exact shape of each variable (tensor) in order to create a graph. The reshape operation prevents ONNX from knowing the exact shape of the tensor, which causes the conversion to fail.
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Related Issues (20)
- Onnx output and pytorch output are inconsistent HOT 6
- Fit FLAME model to Landmarks
- Performance improvement
- RuntimeError: Found no NVIDIA driver on your system HOT 1
- Importing retinaface causes all torch tensors to lack gradient function HOT 1
- showing only the face with highest confidence HOT 2
- How to convert to onxx/tensorRT? HOT 1
- Running on CPU without using GPU. In case there is no CUDA compatibility. HOT 1
- On the issue of converting ONNX HOT 1
- Problems running in a thread on Linux/Mac (with solution)
- Have a problem in colab, UnpicklingError: invalid load key, '<' HOT 2
- UnpicklingError: While running in Local and Colab HOT 5
- 3D Head Translation
- Landmark ids HOT 1
- Live demo on HF
- Dog Face Cases (requesting the training script)
- Head pose estimation Only
- sort_tracker and retinaface not found HOT 1
- How to test an image by model? HOT 2
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