Tensorflow

opencv tensorflow keras yolo

https://www.tensorflow.org/install/gpu

https://rebrickable.com/api/v3/docs https://ldraw.org https://github.com/TobyLobster/ImportLDraw - Blender plug-in for importing LDraw

 .mpd, .ldr, .l3b, and .dat

python.exe -m pip install --upgrade pip
pip install numpy
pip install opencv-python
pip install tensorflow
pip install tensorflow_hub
pip install pandas
pip install pillow

pip install tensorflow-object-detection-api

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite> .\deviceQuery.exe

cudart64_110.dll / cudnn64_8.dll
import os
os.add_dll_directory("C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/bin")
os.add_dll_directory("C:/Program Files/NVIDIA/CUDNN/v8.3/bin")

nvidia-smi
nvcc --version

python retrain.py --how_many_training_steps 10000 --flip_left_right --print_misclassified_test_images --image_dir croppedImages --tfhub_module https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/feature_vector/3 --output_graph=retrained/retrainedLego_graph.pb --output_labels=retrained/labels.txt

python generate_tfrecord.py --csv_input=data/train_labels.csv --image_dir=images --output_path=train.record
python generate_tfrecord.py --csv_input=data/test_labels.csv --image_dir=images --output_path=test.record

https://pythonprogramming.net/creating-tfrecord-files-tensorflow-object-detection-api-tutorial/

import tensorflow.compat.v1 as tf