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I have been experimenting with convert_tflite.py script to convert yolov4 to quantized tf lite model. The command I ran is:
python convert_tflite.py --weights ./checkpoints/yolov4-416 --output ./ch…
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Hello,
I followed your steps to freeze the ckpt model to frozen graph .pb and then I use
`toco --graph_def_file=yolov3_coco.pb --output_file=yolov3.tflite --input_format=TENSORFLOW_GRAPHDEF --out…
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There has recently been an article saying mobilenetv3 can be used for QAT
[https://blog.tensorflow.org/2022/06/Adding-Quantization-aware-Training-and-Pruning-to-the-TensorFlow-Model-Garden.html](http…
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## CVE-2018-20676 - Medium Severity Vulnerability
Vulnerable Library - bootstrap-3.3.5.min.js
The most popular front-end framework for developing responsive, mobile first projects on the web.
Librar…
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Can't perform inference on a quantized model that was trained on TF2.3. It crashes when it tries to perform a CONV2D layer inference.
Rebooting...
ets Jun 8 2016 00:22:57
rst:0xc (SW_CPU_RESE…
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**Describe the bug**
hi there,
I'm converting pytorch (1) --> ONNX (2) --> pb (3) --> tf-lite (4).
which
- **os.environ["CUDA_VISIBLE_DEVICES"]="0"** (1) --> (2) --> (3) worked but (3) --> (4) not…
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# Prerequisites
Please answer the following question for yourself before submitting an issue.
- [x] I checked to make sure that this feature has not been requested already.
## 1. The entire U…
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Hi
Thanks a bunch for sharing this project ?
I have a general question. I want to know which framework is the best to run deep learning models on raspberry pi in python? onnxruntime, tensorflow…
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Hey bro , please help me to use a rtsp as input for object detection, Actually i use a USB camera as input for detection but now I wanna use a rtsp as input for object detection , I suppose it could b…
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Hi, mocleiri.
After I successfully completed the image classification based on edge impulse and tensorflow-micropython-examples, I began to try the audio classification based on edge impulse.
At…