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| tensorflow:fast-style-transfer [2018/04/22] – gomida | tensorflow:fast-style-transfer [2022/06/25] (current) – removed gomida |
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| ==== Fast Style Transfer ==== | |
| ---- | |
| === Source === | |
| 스타일 트랜스퍼 구현 가운데 정리가 잘 되어 있는 소스. | |
| * https://github.com/hwalsuklee/tensorflow-fast-style-transfer | |
| |
| \\ | |
| ---- | |
| === Train === | |
| <code> | |
| gomida@TITAN:~/github/tensorflow-fast-style-transfer$ time python3 run_train.py --style=style/wave.jpg --output=output --trainDB=train2014 --vgg_model=pre_trained_model | |
| ... | |
| epoch : 1, iter : 41387, L_total : 3.64985e+06, L_content : 2.54942e+06, L_style : 969267, L_tv : 131156 | |
| epoch : 1, iter : 41388, L_total : 3.5645e+06, L_content : 2.41286e+06, L_style : 1.01815e+06, L_tv : 133492 | |
| epoch : 1, iter : 41389, L_total : 4.10214e+06, L_content : 2.8635e+06, L_style : 1.10317e+06, L_tv : 135476 | |
| epoch : 1, iter : 41390, L_total : 3.44248e+06, L_content : 2.29165e+06, L_style : 1.01803e+06, L_tv : 132808 | |
| |
| real 246m24.080s | |
| user 177m50.431s | |
| sys 77m29.460s | |
| gomida@TITAN:~/github/tensorflow-fast-style-transfer$ | |
| </code> | |
| \\ | |
| ---- | |
| === Test === | |
| <sq tensorflow/fast-style-transfer/r.jpg>기본 옵션으로 학습한 모델</sq> | |
| <sq tensorflow/fast-style-transfer/r_original.jpg>제공되는 wave.ckpt 모델</sq> | |
| \\ | |
| ---- | |
| === TF Lite === | |
| == interpreter->AllocateTensors() 호출 시 == | |
| <code> | |
| Failed to allocate tensors! | |
| tensorflow/contrib/lite/kernels/div.cc:48 NumDimensions(input1) != NumDimensions(input2) (4 != 0) | |
| </code> | |
| |
| == 변환 에러 == | |
| <code> | |
| gomida@TITAN:~/github/tensorflow$ ./bazel-bin/tensorflow/contrib/lite/toco/toco --input_file=/home/gomida/github/tensorflow-fast-style-transfer/frozen_out3.pb --output_file=/home/gomida/github/tensorflow-fast-style-transfer/frozen_out3_r16.tflite --input_array=input --output_array=Tanh --input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE | |
| 2018-04-22 09:59:33.502829: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] Before Removing unused ops: 222 operators, 310 arrays (0 quantized) | |
| 2018-04-22 09:59:33.505184: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] Before general graph transformations: 222 operators, 310 arrays (0 quantized) | |
| 2018-04-22 09:59:33.511251: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] After general graph transformations pass 1: 158 operators, 260 arrays (0 quantized) | |
| 2018-04-22 09:59:33.513290: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] Before dequantization graph transformations: 158 operators, 260 arrays (0 quantized) | |
| 2018-04-22 09:59:33.514900: F tensorflow/contrib/lite/toco/allocate_transient_arrays.cc:310] Check failed: model->transient_data_size >= optimal_transient_alloc_size (462858240 vs. 555429888) | |
| Aborted (core dumped) | |
| </code> | |
| <sq tensorflow/fast-style-transfer/r_out3.jpg>스트라이드를 줄이고 후반 디컨볼루션을 제거한 모델</sq> | |