{"text_format":"2","workbook":"xlsx","n_sheets":4,"sheets":["Info_stylegan2","Demo By Colab_stylegan2","Info_CartoonGAN","Demo By conda env"],"not_rendered":{"charts":0,"images":2,"macros":0,"external_links":0,"defined_names":0,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900"}

{"sheet":"Info_stylegan2","index":0,"n_rows":15,"n_cols":2,"rows_kept":15,"cut":false,"hidden":false,"merged":[]}
["github","https://github.com/NVlabs/stylegan2"]
["requirements"]
[null,"Both Linux and Windows are supported. Linux is recommended for performance and compatibility reasons."]
[null,"64-bit Python 3.6 installation. We recommend Anaconda3 with numpy 1.14.3 or newer."]
[null,"We recommend TensorFlow 1.14, which we used for all experiments in the paper, but TensorFlow 1.15 is also supported on Linux. TensorFlow 2.x is not supported."]
[null,"On Windows you need to use TensorFlow 1.14, as the standard 1.15 installation does not include necessary C++ headers."]
[null,"One or more high-end NVIDIA GPUs, NVIDIA drivers, CUDA 10.0 toolkit and cuDNN 7.5. To reproduce the results reported in the paper, you need an NVIDIA GPU with at least 16 GB of DRAM."]
[null,"GPU Compute Capability >=3.5 for tensorflow-gpu"]
[null,"Check your GPU compute capability：https://developer.nvidia.com/cuda-gpus"]
["model"]
[null,"https://drive.google.com/drive/folders/1yanUI9m4b4PWzR0eurKNq6JR1Bbfbh6L"]
[null,"https://github.com/justinpinkney/awesome-pretrained-stylegan2"]
[]
["What GAN?"]
[null,"https://ithelp.ithome.com.tw/articles/10196257"]

{"sheet":"Demo By Colab_stylegan2","index":1,"n_rows":5,"n_cols":2,"rows_kept":5,"cut":false,"hidden":false,"merged":[]}
["Google Colab"]
[null,"類似jupyter，可使用NVIDIA GPU"]
[]
["Demo"]
[null,"https://gist.github.com/tobeywang/a539dfc30a995e7d5b2d0df72ba0b31f"]

{"sheet":"Info_CartoonGAN","index":2,"n_rows":9,"n_cols":2,"rows_kept":9,"cut":false,"hidden":false,"merged":[]}
["Gan延申應用-CartoonGan"]
["github"]
[null,"https://github.com/mnicnc404/CartoonGan-tensorflow"]
[null,"https://github.com/keras-team/keras-contrib"]
["requirements"]
[null,"CPU and GPU are supported"]
[null,"need keras-contrib"]
["What CartoonGan?"]
[null,"https://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.pdf"]

{"sheet":"Demo By conda env","index":3,"n_rows":33,"n_cols":2,"rows_kept":33,"cut":false,"hidden":false,"merged":[]}
["requirements"]
[null,"pip install -r  requirements_cpu.txt"]
["conda"]
[null,"git clone https://github.com/mnicnc404/CartoonGan-tensorflow.git"]
[null,"cd CartoonGan-tensorflow"]
[null,"git clone https://www.github.com/keras-team/keras-contrib.git"]
[null,"cd keras-contrib"]
[null,"python convert_to_tf_keras.py "]
[null,"python setup.py install"]
[null,"cd .."]
["圖片原檔預設路徑"]
[null,"CartoonGan-tensorflow-master\\input_images"]
["conda"]
[null,"python -W ignore cartoonize.py"]
{"$rows_empty":16}
["圖片輸出預設路徑"]
[null,"CartoonGan-tensorflow-master\\output_images"]
["新海城風格："]