error: (-215:Assertion failed) 0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows in function 'cv::Mat::Mat'

[nfkmobile]

is it random. how can we fix this? sometimes errros like this sometimes works ok. is there a fix for this?

[zhai-xing]

I have also encountered the same error. May I ask if you have resolved it? How did you solve it?

[Rangang01]

the same error

[xiaowuzicode]

the same error

[creegon]

I solve it by adjusting the source code of paste_pic.py, which is in: src\utils\paste_pic.py at the bottom of the code, change it to:

for crop_frame in tqdm(crop_frames, 'seamlessClone:'): # 调整 ox1, ox2, oy1, oy2 以确保它们定义的区域不超过 full_img 的边界 ox1 = max(ox1, 0) ox2 = min(ox2, frame_w) oy1 = max(oy1, 0) oy2 = min(oy2, frame_h)

    p = cv2.resize(crop_frame.astype(np.uint8), (ox2 - ox1, oy2 - oy1))

    # 确保 location 在 full_img 内部
    location_x = max(min((ox1 + ox2) // 2, frame_w - 1), 0)
    location_y = max(min((oy1 + oy2) // 2, frame_h - 1), 0)
    location = (location_x, location_y)

    # 调整 mask 大小以匹配 p 的大小
    mask = 255 * np.ones(p.shape[:2], p.dtype)

    # 使用调整后的 location 和 mask 进行无缝克隆
    gen_img = cv2.seamlessClone(p, full_img, mask, location, cv2.NORMAL_CLONE)

[zhai-xing]

Oh, thank you very much for your answer. I agree with your solution and I have already fixed the bug.

---Original--- From: @.> Date: Sun, Mar 3, 2024 21:55 PM To: @.>; Cc: @.@.>; Subject: Re: [OpenTalker/SadTalker] error: (-215:Assertion failed) 0 <= roi.x&& 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <=roi.height && roi.y + roi.height <= m.rows in function 'cv::Mat::Mat' (Issue#623)

I solve it by adjusting the source code of paste_pic.py, which is in: src\utils\paste_pic.py at the bottom of the code, change it to:

for crop_frame in tqdm(crop_frames, 'seamlessClone:'):

调整 ox1, ox2, oy1, oy2 以确保它们定义的区域不超过 full_img 的边界

ox1 = max(ox1, 0) ox2 = min(ox2, frame_w) oy1 = max(oy1, 0) oy2 = min(oy2, frame_h) p = cv2.resize(crop_frame.astype(np.uint8), (ox2 - ox1, oy2 - oy1)) # 确保 location 在 full_img 内部 location_x = max(min((ox1 + ox2) // 2, frame_w - 1), 0) location_y = max(min((oy1 + oy2) // 2, frame_h - 1), 0) location = (location_x, location_y) # 调整 mask 大小以匹配 p 的大小 mask = 255 * np.ones(p.shape[:2], p.dtype) # 使用调整后的 location 和 mask 进行无缝克隆 gen_img = cv2.seamlessClone(p, full_img, mask, location, cv2.NORMAL_CLONE)
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[hongyu2024]

I solve it by adjusting the source code of paste_pic.py, which is in: src\utils\paste_pic.py at the bottom of the code, change it to:

for crop_frame in tqdm(crop_frames, 'seamlessClone:'): # 调整 ox1, ox2, oy1, oy2 以确保它们定义的区域不超过 full_img 的边界 ox1 = max(ox1, 0) ox2 = min(ox2, frame_w) oy1 = max(oy1, 0) oy2 = min(oy2, frame_h)

    p = cv2.resize(crop_frame.astype(np.uint8), (ox2 - ox1, oy2 - oy1))

    # 确保 location 在 full_img 内部
    location_x = max(min((ox1 + ox2) // 2, frame_w - 1), 0)
    location_y = max(min((oy1 + oy2) // 2, frame_h - 1), 0)
    location = (location_x, location_y)

    # 调整 mask 大小以匹配 p 的大小
    mask = 255 * np.ones(p.shape[:2], p.dtype)

    # 使用调整后的 location 和 mask 进行无缝克隆
    gen_img = cv2.seamlessClone(p, full_img, mask, location, cv2.NORMAL_CLONE)

thank you very much .ooo我的问题得到了解决！