train_object_detection_dlbox.sh_log

+ docker run --rm --privileged --userns=host --gpus all --mount type=bind,src=/home/kanazawa/20211223-195546-3000-dataset_training-9-industry-objects-train-test-in-order-300x300-rembg-w-config/learn,dst=/root/Tensorflow/demo/models_test object_detection bash docker_train.sh
generate_record.sh: line 1:    22 Illegal instruction     (core dumped) python3 generate_tfrecord.py -x ./images/train -l ./annotations/label_map.pbtxt -o ./annotations/train.record
generate_record.sh: line 3:    42 Illegal instruction     (core dumped) python3 generate_tfrecord.py -x ./images/test -l ./annotations/label_map.pbtxt -o ./annotations/test.record
docker_train.sh: line 10:    59 Illegal instruction     (core dumped) python3 model_main-fine-tune.py --model_dir=models/my_ssd --pipeline_config_path=models/my_ssd/pipeline.config --num_train_steps=$ITERATION_TIMES
convert.sh: line 5:    76 Illegal instruction     (core dumped) python3 ./export_tflite_ssd_graph.py --pipeline_config_path="my_ssd/pipeline.config" --trained_checkpoint_prefix="my_ssd/model.ckpt-$1" --output_directory="./"
convert.sh: line 18:    92 Illegal instruction     (core dumped) tflite_convert --output_file="./my_object_detection.tflite" --graph_def_file="./tflite_graph.pb" --inference_type=QUANTIZED_UINT8 --input_arrays="normalized_input_image_tensor" --output_arrays='TFLite_Detection_PostProcess','TFLite_Detection_PostProcess:1','TFLite_Detection_PostProcess:2','TFLite_Detection_PostProcess:3' --mean_values=128 --std_dev_values=128 --input_shapes=1,300,300,3 --change_concat_input_ranges=false --allow_nudging_weights_to_use_fast_gemm_kernel=true --allow_custom_ops
Edge TPU Compiler version 16.0.384591198
Error opening file for reading: my_object_detection.tflite
mv: cannot stat 'my_object_detection_edgetpu.tflite': No such file or directory
+ set +x
Done generating model file for edgetpu object detection
 - /home/kanazawa/20211223-195546-3000-dataset_training-9-industry-objects-train-test-in-order-300x300-rembg-w-config/learn/models/labels.txt
 - /home/kanazawa/20211223-195546-3000-dataset_training-9-industry-objects-train-test-in-order-300x300-rembg-w-config/learn/models/output_tflite_graph.tflite
 - /home/kanazawa/20211223-195546-3000-dataset_training-9-industry-objects-train-test-in-order-300x300-rembg-w-config/learn/models/output_tflite_graph_edgetpu.tflite
+ mkdir -p /home/kanazawa/Downloads/dataset_training-9-industry-objects-train-test-in-order-300x300-rembg-w-config-20211223-195546-3000
+ scp -r '133.11.216.122:~/20211223-195546-3000-dataset_training-9-industry-objects-train-test-in-order-300x300-rembg-w-config/learn' /home/kanazawa/Downloads/dataset_training-9-industry-objects-train-test-in-order-300x300-rembg-w-config-20211223-195546-3000/
export_tflite_ssd_graph.py                                         100% 5894     9.8MB/s   00:00    
pipeline.config                                                    100% 5502    10.0MB/s   00:00    
pipeline-fine-tune.config                                          100% 5503     7.3MB/s   00:00    
convert.sh                                                         100%  923     2.0MB/s   00:00