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YOLO_Test
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| # Name Version Build Channel | |
| _libgcc_mutex 0.1 main | |
| _tflow_select 2.3.0 mkl | |
| absl-py 0.8.0 py36_0 | |
| astor 0.8.0 py36_0 | |
| blas 1.0 mkl | |
| c-ares 1.15.0 h7b6447c_1001 | |
| ca-certificates 2019.8.28 0 | |
| cairo 1.14.12 h8948797_3 | |
| certifi 2019.9.11 py36_0 | |
| cycler 0.10.0 pypi_0 pypi | |
| decorator 4.4.1 pypi_0 pypi | |
| expat 2.2.6 he6710b0_0 | |
| fontconfig 2.13.0 h9420a91_0 | |
| freetype 2.9.1 h8a8886c_1 | |
| fribidi 1.0.5 h7b6447c_0 | |
| gast 0.3.2 py_0 | |
| glib 2.56.2 hd408876_0 | |
| google-pasta 0.1.7 py_0 | |
| graphite2 1.3.13 h23475e2_0 | |
| graphviz 2.40.1 h21bd128_2 | |
| grpcio 1.16.1 py36hf8bcb03_1 | |
| h5py 2.9.0 py36h7918eee_0 | |
| harfbuzz 1.8.8 hffaf4a1_0 | |
| hdf5 1.10.4 hb1b8bf9_0 | |
| icu 58.2 h9c2bf20_1 | |
| imageio 2.6.1 pypi_0 pypi | |
| imgaug 0.3.0 pypi_0 pypi | |
| intel-openmp 2019.4 243 | |
| joblib 0.14.0 pypi_0 pypi | |
| jpeg 9b h024ee3a_2 | |
| keras 2.2.4 0 | |
| keras-applications 1.0.8 py_0 | |
| keras-base 2.2.4 py36_0 | |
| keras-preprocessing 1.1.0 py_1 | |
| kiwisolver 1.1.0 pypi_0 pypi | |
| libedit 3.1.20181209 hc058e9b_0 | |
| libffi 3.2.1 hd88cf55_4 | |
| libgcc-ng 9.1.0 hdf63c60_0 | |
| libgfortran-ng 7.3.0 hdf63c60_0 | |
| libpng 1.6.37 hbc83047_0 | |
| libprotobuf 3.9.2 hd408876_0 | |
| libstdcxx-ng 9.1.0 hdf63c60_0 | |
| libtiff 4.0.10 h2733197_2 | |
| libuuid 1.0.3 h1bed415_2 | |
| libxcb 1.13 h1bed415_1 | |
| libxml2 2.9.9 hea5a465_1 | |
| markdown 3.1.1 py36_0 | |
| matplotlib 3.1.1 pypi_0 pypi | |
| mkl 2019.4 243 | |
| mkl-service 2.3.0 py36he904b0f_0 | |
| mkl_fft 1.0.14 py36ha843d7b_0 | |
| mkl_random 1.1.0 py36hd6b4f25_0 | |
| ncurses 6.1 he6710b0_1 | |
| networkx 2.4 pypi_0 pypi | |
| numpy 1.17.2 py36haad9e8e_0 | |
| numpy-base 1.17.2 py36hde5b4d6_0 | |
| olefile 0.46 py36_0 | |
| opencv-python 4.1.2.30 pypi_0 pypi | |
| opencv-python-headless 4.1.2.30 pypi_0 pypi | |
| openssl 1.1.1d h7b6447c_3 | |
| pandas 0.25.2 pypi_0 pypi | |
| pango 1.42.4 h049681c_0 | |
| pcre 8.43 he6710b0_0 | |
| pillow 6.2.0 py36h34e0f95_0 | |
| pip 19.2.3 py36_0 | |
| pixman 0.38.0 h7b6447c_0 | |
| protobuf 3.9.2 py36he6710b0_0 | |
| pydot 1.4.1 py36_0 | |
| pyparsing 2.4.2 py_0 | |
| pyserial 3.4 pypi_0 pypi | |
| python 3.6.9 h265db76_0 | |
| python-dateutil 2.8.0 pypi_0 pypi | |
| pytz 2019.3 pypi_0 pypi | |
| pywavelets 1.1.1 pypi_0 pypi | |
| pyyaml 5.1.2 py36h7b6447c_0 | |
| readline 7.0 h7b6447c_5 | |
| scikit-image 0.16.2 pypi_0 pypi | |
| scikit-learn 0.21.3 pypi_0 pypi | |
| scipy 1.3.1 py36h7c811a0_0 | |
| seaborn 0.9.0 pypi_0 pypi | |
| setuptools 41.4.0 py36_0 | |
| shapely 1.6.4.post2 pypi_0 pypi | |
| six 1.12.0 py36_0 | |
| sklearn 0.0 pypi_0 pypi | |
| sqlite 3.30.0 h7b6447c_0 | |
| tensorboard 1.14.0 py36hf484d3e_0 | |
| tensorflow 1.14.0 mkl_py36h2526735_0 | |
| tensorflow-base 1.14.0 mkl_py36h7ce6ba3_0 | |
| tensorflow-estimator 1.14.0 py_0 | |
| termcolor 1.1.0 py36_1 | |
| tk 8.6.8 hbc83047_0 | |
| tqdm 4.41.1 pypi_0 pypi | |
| werkzeug 0.16.0 py_0 | |
| wheel 0.33.6 py36_0 | |
| wrapt 1.11.2 py36h7b6447c_0 | |
| xz 5.2.4 h14c3975_4 | |
| yaml 0.1.7 had09818_2 | |
| zlib 1.2.11 h7b6447c_3 | |
| zstd 1.3.7 h0b5b093_0 |
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| { | |
| "model" : { | |
| "architecture": "MobileNet", | |
| "input_size": 224, | |
| "anchors": [0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828], | |
| "labels": ["raccoon"], | |
| "coord_scale" : 1.0, | |
| "class_scale" : 1.0, | |
| "object_scale" : 5.0, | |
| "no_object_scale" : 1.0 | |
| }, | |
| "pretrained" : { | |
| "full": "" | |
| }, | |
| "train" : { | |
| "actual_epoch": 100, | |
| "train_image_folder": "/mnt/e/LinuxHome/K210/DATASET/yolo_train/yolo_train_1/raccoon_dataset/images", | |
| "train_annot_folder": "/mnt/e/LinuxHome/K210/DATASET/yolo_train/yolo_train_1/raccoon_dataset/annotations", | |
| "train_times": 4, | |
| "valid_image_folder": "", | |
| "valid_annot_folder": "", | |
| "valid_times": 1, | |
| "batch_size": 6, | |
| "learning_rate": 1e-4, | |
| "saved_folder": "raccoon", | |
| "first_trainable_layer": "", | |
| "jitter": true, | |
| "is_only_detect" : false | |
| } | |
| } |
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