Comments (3)
asus4
commented on May 22, 2024
Hi @selimbek , thanks for using my repo. I think the error is caused by "the input data isn't correct shape or type". Please check the model's input. the input type will be ushort on the quantized model.
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klauspa
commented on May 22, 2024
Hi @selimbek , thanks for using my repo. I think the error is caused by "the input data isn't correct shape or type". Please check the model's input. the input type will be
ushorton the quantized model.
I can't quantized my SSD model, how do I modify the code so that my 32bit model can be loaded in this project? many thanks
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sandhyacs
commented on May 22, 2024
Hi @selimbek , thanks for using my repo. I think the error is caused by "the input data isn't correct shape or type". Please check the model's input. the input type will be
ushorton the quantized model.I can't quantized my SSD model, how do I modify the code so that my 32bit model can be loaded in this project? many thanks
Hi @klauspa ,
Did you get the solution for this? even i am facing the same issue.
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Related Issues (20)
- Unable to support TensorFlow Lite Task Library model? HOT 5
- Accelerator compatibility issue on Android phones HOT 1
- Expose mediapipe config option "min_pose_detection_confidence" HOT 2
- face blendshape and geometry support HOT 4
- CameraTextureBackground doesn't support Built-in Render Pipeline HOT 4
- Custom model in SSD throws exception: TensorFlowLite operation failed HOT 3
- When the Graphics API is set to OpenGLES3, the ssd tracking does not work. HOT 2
- Fails TFLite Android build on CircleCI HOT 6
- deeplabv3_257_mv_gpu.tflite question HOT 2
- Having multiple tflite models deployed on same application HOT 5
- Better camera quality or a plugin instead of WebcamTexture HOT 1
- Facing Issue with Custom Model Integration HOT 2
- Map the landmarks on BlazePose Sample into a 3D avatar: eg Unity Chan? HOT 3
- Gpu Accelerator not working for linux x86_64. HOT 2
- undefined symbol errors on Xcode HOT 2
- This TensorFlow Lite and the one Xamarin - identical? HOT 1
- DllNotFoundException: libtensorflowlite_jni HOT 2
- Audio classification will produce different results on different runs HOT 9
- Blazepose runs very slowly on mobile HOT 1
- using static image instead of WebCamTexture on BlazePose HOT 2
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