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Running
on
Zero
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import traceback
import os
import sys
import importlib
print("easy stuff")
import mediapy
from PIL import Image
import tyro
import torchvision.transforms as transforms
print("boring stuff")
from pixel3dmm import env_paths
sys.path.append(f'{env_paths.CODE_BASE}/src/pixel3dmm/preprocessing/PIPNet/FaceBoxesV2/')
from pixel3dmm.preprocessing.pipnet_utils import demo_image
from pixel3dmm import env_paths
print("all we got")
def run(exp_path, image_dir, start_frame = 0,
vertical_crop : bool = False,
static_crop : bool = False,
max_bbox : bool = False,
disable_cropping : bool = False,
):
print("are we even here")
experiment_name = exp_path.split('/')[-1][:-3]
data_name = exp_path.split('/')[-2]
config_path = '.experiments.{}.{}'.format(data_name, experiment_name)
my_config = importlib.import_module(config_path, package='pixel3dmm.preprocessing.PIPNet')
Config = getattr(my_config, 'Config')
cfg = Config()
cfg.experiment_name = experiment_name
cfg.data_name = data_name
save_dir = os.path.join(f'{env_paths.CODE_BASE}/src/pixel3dmm/preprocessing/PIPNet/snapshots', cfg.data_name, cfg.experiment_name)
print(f'save dir {save_dir}')
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
preprocess = transforms.Compose(
[transforms.Resize((cfg.input_size, cfg.input_size)), transforms.ToTensor(), normalize])
print(f'we made it so far')
#for pid in pids:
pid = "FaMoS_180424_03335_TA_selfie_IMG_0092.jpg"
pid = "FaMoS_180426_03336_TA_selfie_IMG_0152.jpg"
demo_image(image_dir, pid, save_dir, preprocess, cfg, cfg.input_size, cfg.net_stride, cfg.num_nb,
cfg.use_gpu,
start_frame=start_frame, vertical_crop=vertical_crop, static_crop=static_crop, max_bbox=max_bbox,
disable_cropping=disable_cropping)
def unpack_images(base_path, video_or_images_path):
if not os.path.exists(base_path):
os.makedirs(base_path, exist_ok=True)
if os.path.isdir(video_or_images_path):
files = os.listdir(f'{video_or_images_path}')
files.sort()
if len(os.listdir(base_path)) == len(files):
print(f'''
<<<<<<<< ALREADY COMPLETED IMAGE CROPPING for {video_or_images_path}, SKIPPING! >>>>>>>>
''')
return
for i, file in enumerate(files):
I = Image.open(f'{video_or_images_path}/{file}')
I.save(f'{base_path}/{i:05d}.jpg', quality=95)
elif video_or_images_path.endswith('.jpg') or video_or_images_path.endswith('.jpeg') or video_or_images_path.endswith('.png'):
Image.open(video_or_images_path).save(f'{base_path}/{0:05d}.jpg', quality=95)
else:
frames = mediapy.read_video(f'{video_or_images_path}')
if len(frames) == len(os.listdir(base_path)):
return
for i, frame in enumerate(frames):
Image.fromarray(frame).save(f'{base_path}/{i:05d}.jpg', quality=95)
def main(video_or_images_path : str,
max_bbox : bool = True, # not used
disable_cropping : bool = False):
if os.path.isdir(video_or_images_path):
video_name = video_or_images_path.split('/')[-1]
else:
video_name = video_or_images_path.split('/')[-1][:-4]
base_path = f'{env_paths.PREPROCESSED_DATA}/{video_name}/rgb/'
unpack_images(base_path, video_or_images_path)
if os.path.exists(f'{env_paths.PREPROCESSED_DATA}/{video_name}/cropped/'):
if len(os.listdir(base_path)) == len(os.listdir(f'{env_paths.PREPROCESSED_DATA}/{video_name}/cropped/')):
return
start_frame = -1
run('experiments/WFLW/pip_32_16_60_r18_l2_l1_10_1_nb10.py', base_path, start_frame=start_frame, vertical_crop=False,
static_crop=True, max_bbox=max_bbox, disable_cropping=disable_cropping)
# run('experiments/WFLW/pip_32_16_60_r101_l2_l1_10_1_nb10.py', base_path, start_frame=start_frame, vertical_crop=False, static_crop=True)
if __name__ == '__main__':
tyro.cli(main)
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