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Add simple resize to extract images

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This commit is contained in:
James Betker 2020-06-23 09:39:51 -06:00
parent 030648f2bc
commit bad33de906
1 changed files with 27 additions and 6 deletions
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33
codes/data_scripts/extract_subimages.py
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@ -20,11 +20,13 @@ def main():
# CV_IMWRITE_PNG_COMPRESSION from 0 to 9. A higher value means a smaller size and longer
# compression time. If read raw images during training, use 0 for faster IO speed.
if mode == 'single':
opt['input_folder'] = 'F:\\4k6k\\datasets\\hands_on_hc\\images'
opt['save_folder'] = 'F:\\4k6k\\datasets\\imagesets\\tiled_512px'
opt['crop_sz'] = 512 # the size of each sub-image
opt['step'] = 440 # step of the sliding crop window
opt['thres_sz'] = 120 # size threshold
opt['input_folder'] = 'F:\\4k6k\\datasets\\fkaw\\images'
opt['save_folder'] = 'F:\\4k6k\\datasets\\fkaw\\square_images'
opt['crop_sz'] = 1024 # the size of each sub-image
opt['step'] = 880 # step of the sliding crop window
opt['thres_sz'] = 240 # size threshold
opt['resize_final_img'] = .5
opt['only_resize'] = .5
extract_single(opt, split_img)
elif mode == 'pair':
GT_folder = '../../datasets/div2k/DIV2K_train_HR'
@ -105,6 +107,7 @@ def worker(path, opt, split_mode=False, left_img=True):
crop_sz = opt['crop_sz']
step = opt['step']
thres_sz = opt['thres_sz']
only_resize = opt['only_resize']
img_name = osp.basename(path)
img = cv2.imread(path, cv2.IMREAD_UNCHANGED)
@ -117,7 +120,7 @@ def worker(path, opt, split_mode=False, left_img=True):
raise ValueError('Wrong image shape - {}'.format(n_channels))
# Uncomment to filter any image that doesnt meet a threshold size.
if w < 3000:
if min(h,w) < 1024:
return
left = 0
@ -139,6 +142,18 @@ def worker(path, opt, split_mode=False, left_img=True):
if w - (w_space[-1] + crop_sz) > thres_sz:
w_space = np.append(w_space, w - crop_sz)
dsize = None
if only_resize:
dsize = (crop_sz, crop_sz)
if h < w:
h_space = [0]
w_space = [(w - h) // 2]
crop_sz = h
else:
h_space = [(h - w) // 2]
w_space = [0]
crop_sz = w
index = 0
for x in h_space:
for y in w_space:
@ -150,6 +165,12 @@ def worker(path, opt, split_mode=False, left_img=True):
crop_img = np.ascontiguousarray(crop_img)
# If this fails, change it and the imwrite below to the write extension.
assert ".jpg" in img_name
if 'resize_final_img' in opt.keys():
# Resize too.
resize_factor = opt['resize_final_img']
if dsize is None:
dsize = (int(crop_img.shape[0] * resize_factor), int(crop_img.shape[1] * resize_factor))
crop_img = cv2.resize(crop_img, dsize, interpolation = cv2.INTER_AREA)
cv2.imwrite(
osp.join(opt['save_folder'],
img_name.replace('.jpg', '_l{:05d}_s{:03d}.png'.format(left, index))), crop_img,