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Image classification with NVIDIA TensorRT from TensorFlow models.

Results 34 tf_to_trt_image_classification issues
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python3 scripts/convert_plan.py data/frozen_graphs/mobilenet_v2.pb data/plans/mobilenet_v2.plan Placeholder 224 224 Softmax 1 0 float NOTE: UFF has been tested with TensorFlow 1.12.0. Other versions are not guaranteed to work WARNING: The version of...

Is this repository still maintained / a recommended way to do things? Having installed the latest Jetpack (4.5.1), and other contemporary packages, I notice that this code doesn't build as-is...

hello, i want to use tensorrt to speed up the facenet project. [davidsandberg/facenet ](https://github.com/davidsandberg/facenet) I freeze the model into .pb tensorflow modle, but I am confused about how can I...

I am try to inference a image classfication model on Jetson xavier. Environment: tensorflow1.15 tensorrt7 python3.6 After training, I convert ckpt files to a pb files. And I can use...

Trying the first step [ tf_to_trt_image_classification/scripts/models_to_frozen_graphs.py](https://github.com/NVIDIA-AI-IOT/tf_to_trt_image_classification/blob/master/scripts/models_to_frozen_graphs.py) Please guide on the second part of this question [Trying to convert emotion detection into TensorRT](https://github.com/oarriaga/face_classification/issues/121) What should be the `output_names` of the custom...

My Jetpack is 4.4.1,can I successfully run this code, I am looking forward to your reply, thank you very much.

ENV: Jetson Nano board with JetPack4.2.1 cuda 10.0 cuDNN 7.5 TensorFlow with GPU 1.13.1 Following the README, 1. clone git repository and checkout to trt_4plus, then build the uff_to_plan 2....

Hi, Im currently working on facenet,mtcnn model while i need to optimize my model with TensorRT. I have .pb file for model, when i try to convert with uff model...

Hi, I am studied this repo and it was very helpful. Now I am trying to convert the Lanenet (https://github.com/MaybeShewill-CV/lanenet-lane-detection) to tensorrt. I was able to conver the model and...

nvidia@tegra-ubuntu:~/demo/tf_to_trt_image_classification/build$ cmake .. -- Configuring done -- Generating done -- Build files have been written to: /home/nvidia/demo/tf_to_trt_image_classification/build nvidia@tegra-ubuntu:~/demo/tf_to_trt_image_classification/build$ make [ 33%] Built target classify_image [ 50%] Building CXX object src/CMakeFiles/uff_to_plan.dir/uff_to_plan.cpp.o...