github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-08-19 21:13:20 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix jpeg range

Browse source
This commit is contained in:
Jeremy Hummel 2021-05-23 22:15:22 -07:00
commit 0c8ab9b510
1 changed files with 3 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

5
samplelib/SampleProcessor.py
View file

@ -261,10 +261,11 @@ class SampleProcessor(object):
# Apply random jpeg compression # Apply random jpeg compression
if random_jpeg: if random_jpeg:
img = np.clip(img*255, 0, 255).astype(np.uint8)
jpeg_compression_level = np.random.randint(50, 85) jpeg_compression_level = np.random.randint(50, 85)
encode_param = [int(cv2.IMWRITE_JPEG_QUALITY), jpeg_compression_level] encode_param = [int(cv2.IMWRITE_JPEG_QUALITY), jpeg_compression_level]
_, encimg = cv2.imencode('.jpg', img, encode_param) _, enc_img = cv2.imencode('.jpg', img, encode_param)
img = cv2.imdecode(encimg, 1) img = cv2.imdecode(enc_img, cv2.IMREAD_UNCHANGED).astype(np.float32) / 255.0
img = imagelib.warp_by_params (params_per_resolution[resolution], img, warp, transform, can_flip=True, border_replicate=border_replicate) img = imagelib.warp_by_params (params_per_resolution[resolution], img, warp, transform, can_flip=True, border_replicate=border_replicate)
img = np.clip(img.astype(np.float32), 0, 1) img = np.clip(img.astype(np.float32), 0, 1)