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minor fix

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iperov 2019-08-26 10:03:10 +04:00
parent d3eadbf5f3
commit 029cabea3d
3 changed files with 6 additions and 6 deletions
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2
converters/ConvertAvatar.py
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@ -30,7 +30,7 @@ def ConvertFaceAvatar (cfg, prev_temporal_frame_infos, frame_info, next_temporal
prd_f = cfg.superres_func(cfg.super_resolution_mode, prd_f) prd_f = cfg.superres_func(cfg.super_resolution_mode, prd_f)
if cfg.sharpen_mode != 0 and cfg.sharpen_amount != 0: if cfg.sharpen_mode != 0 and cfg.sharpen_amount != 0:
prd_f = cfg.sharpen_func ( prd_f, cfg.sharpen_mode, 0.003, cfg.sharpen_amount) prd_f = cfg.sharpen_func ( prd_f, cfg.sharpen_mode, 3, cfg.sharpen_amount)
out_img = np.clip(prd_f, 0.0, 1.0) out_img = np.clip(prd_f, 0.0, 1.0)

2
converters/ConvertMasked.py
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@ -332,7 +332,7 @@ def ConvertMaskedFace (cfg, frame_info, img_bgr_uint8, img_bgr, img_face_landmar
out_face_bgr = imagelib.LinearMotionBlur (out_face_bgr, k_size , frame_info.motion_deg) out_face_bgr = imagelib.LinearMotionBlur (out_face_bgr, k_size , frame_info.motion_deg)
if cfg.sharpen_mode != 0 and cfg.sharpen_amount != 0: if cfg.sharpen_mode != 0 and cfg.sharpen_amount != 0:
out_face_bgr = cfg.sharpen_func ( out_face_bgr, cfg.sharpen_mode, 0.003, cfg.sharpen_amount) out_face_bgr = cfg.sharpen_func ( out_face_bgr, cfg.sharpen_mode, 3, cfg.sharpen_amount)
new_out = cv2.warpAffine( out_face_bgr, face_mat, img_size, img_bgr.copy(), cv2.WARP_INVERSE_MAP | cv2.INTER_CUBIC, cv2.BORDER_TRANSPARENT ) new_out = cv2.warpAffine( out_face_bgr, face_mat, img_size, img_bgr.copy(), cv2.WARP_INVERSE_MAP | cv2.INTER_CUBIC, cv2.BORDER_TRANSPARENT )
out_img = np.clip( img_bgr*(1-img_face_mask_aaa) + (new_out*img_face_mask_aaa) , 0, 1.0 ) out_img = np.clip( img_bgr*(1-img_face_mask_aaa) + (new_out*img_face_mask_aaa) , 0, 1.0 )

8
mainscripts/Converter.py
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@ -84,10 +84,10 @@ class ConvertSubprocessor(Subprocessor):
#therefore forcing active_DeviceConfig to CPU only #therefore forcing active_DeviceConfig to CPU only
nnlib.active_DeviceConfig = nnlib.DeviceConfig (cpu_only=True) nnlib.active_DeviceConfig = nnlib.DeviceConfig (cpu_only=True)
def sharpen_func (img, sharpen_mode=0, radius=0.003, amount=150): def sharpen_func (img, sharpen_mode=0, kernel_size=3, amount=150):
h,w,c = img.shape if kernel_size % 2 == 0:
radius = max(1, round(w * radius)) kernel_size += 1
kernel_size = int((radius * 2) + 1)
if sharpen_mode == 1: #box if sharpen_mode == 1: #box
kernel = np.zeros( (kernel_size, kernel_size), dtype=np.float32) kernel = np.zeros( (kernel_size, kernel_size), dtype=np.float32)
kernel[ kernel_size//2, kernel_size//2] = 1.0 kernel[ kernel_size//2, kernel_size//2] = 1.0