{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d560afc5-2c9b-8c7f-77cf-3e1874d342e5"},"outputs":[],"source":"import numpy as np\nimport pandas as pd\nimport os\nimport cv2\nimport matplotlib.pyplot as plt\nimport skimage.feature\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import LabelBinarizer\nimport keras\nfrom keras.models import Sequential, load_model\nfrom keras.layers import Dense, Dropout, Activation, Flatten, Conv2D, MaxPooling2D, Lambda, Cropping2D\nfrom keras.utils import np_utils\n\nfrom collections import Counter\n\n%matplotlib inline\n"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"102f07c4-9da5-5d5e-f8e7-092f78c6412b"},"outputs":[],"source":"class_names = ['adult_females', 'adult_males', 'juveniles', 'pups', 'subadult_males']"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d66f06f8-3e00-d62e-22b6-809ff1180940"},"outputs":[],"source":"data_dir = 'D://dejas'\nfile_names = os.listdir(\"//Jasper\")"}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.0"}},"nbformat":4,"nbformat_minor":0}