| from mmseg.apis import inference_segmentor, init_segmentor |
| import mmcv |
| import glob |
| import os |
| from tqdm import tqdm |
| import argparse |
| from PIL import Image |
| import numpy as np |
| from skimage.io import imsave |
| import pdb |
| import imageio |
| from visualize import visualize_twohands_obj1, visualize_twohands_obj2 |
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|
| parser = argparse.ArgumentParser(description="") |
| parser.add_argument("--mode", default='obj1', type=str, help='options: obj1, obj2') |
| parser.add_argument("--input_video_file", default='../testvideos/testvideo1_short.mp4', type=str) |
| parser.add_argument("--output_video_file", default='../testvideos/testvideo1_short_result.mp4', type=str) |
| parser.add_argument("--twohands_config_file", default='./work_dirs/seg_twohands_ccda/seg_twohands_ccda.py', type=str) |
| parser.add_argument("--twohands_checkpoint_file", default='./work_dirs/seg_twohands_ccda/best_mIoU_iter_56000.pth', type=str) |
| parser.add_argument("--cb_config_file", default='./work_dirs/twohands_to_cb_ccda/twohands_to_cb_ccda.py', type=str) |
| parser.add_argument("--cb_checkpoint_file", default='./work_dirs/twohands_to_cb_ccda/best_mIoU_iter_76000.pth', type=str) |
| parser.add_argument("--obj1_config_file", default='./work_dirs/twohands_cb_to_obj1_ccda/twohands_cb_to_obj1_ccda.py', type=str) |
| parser.add_argument("--obj1_checkpoint_file", default='./work_dirs/twohands_cb_to_obj1_ccda/best_mIoU_iter_34000.pth', type=str) |
| parser.add_argument("--obj2_config_file", default='./work_dirs/twohands_cb_to_obj2_ccda/twohands_cb_to_obj2_ccda.py', type=str) |
| parser.add_argument("--obj2_checkpoint_file", default='./work_dirs/twohands_cb_to_obj2_ccda/best_mIoU_iter_32000.pth', type=str) |
| parser.add_argument("--remove_intermediate_images", default=False, type=bool) |
| args = parser.parse_args() |
|
|
| video_dir = args.input_video_file.split('.mp4')[0]; os.makedirs(video_dir, exist_ok = True) |
| video_image_dir = os.path.join(video_dir, 'images'); os.makedirs(video_image_dir, exist_ok = True) |
| video_twohands_dir = os.path.join(video_dir, 'pred_twohands'); os.makedirs(video_twohands_dir, exist_ok = True) |
| video_cb_dir = os.path.join(video_dir, 'pred_cb'); os.makedirs(video_cb_dir, exist_ok = True) |
| video_obj1_dir = os.path.join(video_dir, 'pred_obj1'); os.makedirs(video_obj1_dir, exist_ok = True) |
| video_obj2_dir = os.path.join(video_dir, 'pred_obj2'); os.makedirs(video_obj2_dir, exist_ok = True) |
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| |
| print('Reading and extracting video frames......') |
| reader = imageio.get_reader(args.input_video_file, 'ffmpeg') |
| fps = reader.get_meta_data()['fps'] |
| for num, image in enumerate(reader): |
| save_img_file = os.path.join(video_image_dir, str(num).zfill(8)+'.jpg') |
| imsave(save_img_file, image) |
|
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| |
| cmd_pred_twohands = 'python predict_image.py \ |
| --config_file %s \ |
| --checkpoint_file %s \ |
| --img_dir %s \ |
| --pred_seg_dir %s' % (args.twohands_config_file, args.twohands_checkpoint_file, video_image_dir, video_twohands_dir) |
|
|
| print('Predicting twohands......') |
| print(cmd_pred_twohands) |
| os.system(cmd_pred_twohands) |
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| |
| cmd_pred_cb = 'python predict_image.py \ |
| --config_file %s \ |
| --checkpoint_file %s \ |
| --img_dir %s \ |
| --pred_seg_dir %s' % (args.cb_config_file, args.cb_checkpoint_file, video_image_dir, video_cb_dir) |
|
|
| print('Predicting contact boundary......') |
| print(cmd_pred_cb) |
| os.system(cmd_pred_cb) |
|
|
| if args.mode == 'obj1': |
| |
| cmd_pred_obj1 = 'python predict_image.py \ |
| --config_file %s \ |
| --checkpoint_file %s \ |
| --img_dir %s \ |
| --pred_seg_dir %s' % (args.obj1_config_file, args.obj1_checkpoint_file, video_image_dir, video_obj1_dir) |
|
|
| print('Predicting 1st order interacting objects......') |
| print(cmd_pred_obj1) |
| os.system(cmd_pred_obj1) |
| elif args.mode == 'obj2': |
| |
| cmd_pred_obj2 = 'python predict_image.py \ |
| --config_file %s \ |
| --checkpoint_file %s \ |
| --img_dir %s \ |
| --pred_seg_dir %s' % (args.obj2_config_file, args.obj2_checkpoint_file, video_image_dir, video_obj2_dir) |
|
|
| print('Predicting 2nd order interacting objects......') |
| print(cmd_pred_obj2) |
| os.system(cmd_pred_obj2) |
| else: |
| raise notimplementederror |
|
|
| |
| print('stitch prediction into a video......') |
| writer = imageio.get_writer(args.output_video_file, fps = fps) |
| for img_file in tqdm(sorted(glob.glob(video_image_dir + '/*'))): |
| fname = os.path.basename(img_file).split('.')[0] |
| twohands_file = os.path.join(video_twohands_dir, fname + '.png') |
|
|
| if args.mode == 'obj1': |
| obj1_file = os.path.join(video_obj1_dir, fname + '.png') |
| img = np.array(Image.open(img_file)) |
| twohands = np.array(Image.open(twohands_file)) |
| obj1 = np.array(Image.open(obj1_file)) |
| twohands_obj1 = twohands.copy() |
| twohands_obj1[obj1 == 1] = 3 |
| twohands_obj1[obj1 == 2] = 4 |
| twohands_obj1[obj1 == 3] = 5 |
| twohands_obj1_vis = visualize_twohands_obj1(img, twohands_obj1) |
| writer.append_data(twohands_obj1_vis) |
| elif args.mode == 'obj2': |
| obj2_file = os.path.join(video_obj2_dir, fname + '.png') |
| img = np.array(Image.open(img_file)) |
| twohands = np.array(Image.open(twohands_file)) |
| obj2 = np.array(Image.open(obj2_file)) |
| twohands_obj2 = twohands.copy() |
| twohands_obj2[obj2 == 1] = 3 |
| twohands_obj2[obj2 == 2] = 4 |
| twohands_obj2[obj2 == 3] = 5 |
| twohands_obj2[obj2 == 4] = 6 |
| twohands_obj2[obj2 == 5] = 7 |
| twohands_obj2[obj2 == 6] = 8 |
| twohands_obj2_vis = visualize_twohands_obj2(img, twohands_obj2) |
| writer.append_data(twohands_obj2_vis) |
| else: |
| raise notimplementederror |
|
|
| writer.close() |
|
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| |
| if args.remove_intermediate_images: |
| os.system('rm -rf ' + video_dir) |
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|
