import os from os.path import exists, join, basename, splitext, abspath git_repo_url = 'https://github.com/ZJULearning/pixel_link.git' project_name = splitext(basename(git_repo_url))[0] if not exists(project_name): # clone and install !git clone -q $git_repo_url # make opencv3 compatible !sed -i 's/cv2.cv.BoxPoints/cv2.boxPoints/' $project_name/pixel_link.py # save output to output.png !sed -i 's/print util.sit(image_data)/print util.sit(image_data, format="bgr", path="\/content\/output.png")/' $project_name/test_pixel_link_on_any_image.py # submodule doesn't work, checkout manually !cd $project_name && rm -rf pylib && git clone -q https://github.com/dengdan/pylib.git && cd pylib && git checkout e749559 os.environ['PYTHONPATH'] += ':' + join(abspath(project_name), 'pylib/src') #!cd $project_name && pip install -q -r requirements.txt import sys sys.path.append(project_name) import time import matplotlib import matplotlib.pylab as plt plt.rcParams["axes.grid"] = False def download_from_google_drive(file_id, file_name): # download a file from the Google Drive link !rm -f ./cookie !curl -c ./cookie -s -L "https://drive.google.com/uc?export=download&id=$file_id" > /dev/null confirm_text = !awk '/download/ {print $NF}' ./cookie confirm_text = confirm_text[0] !curl -Lb ./cookie "https://drive.google.com/uc?export=download&confirm=$confirm_text&id=$file_id" -o $file_name pretrained_model = 'conv3_3' if not exists(pretrained_model): # download the pretrained model pretrained_model_file_name = 'pixel_link_vgg_4s.zip' download_from_google_drive('19mlX5W8OBalSjhf5oTTS6qEq2eAU8Tg9', pretrained_model_file_name) !unzip $pretrained_model_file_name IMAGE_URL = 'https://raw.githubusercontent.com/tugstugi/dl-colab-notebooks/master/resources/billboard.jpg' image_file_name = basename(IMAGE_URL) download_dir = '/content/images' !mkdir -p $download_dir && rm -rf $download_dir/* !wget -q -P $download_dir $IMAGE_URL plt.imshow(matplotlib.image.imread(join(download_dir, image_file_name))) !cd $project_name && ./scripts/test_any.sh 0 ../conv3_3/model.ckpt-38055 $download_dir plt.figure(figsize=(20, 26)) plt.imshow(matplotlib.image.imread('output.png'))