File size: 3,293 Bytes
ad44ad4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 |
import cv2
import numpy as np
import os
# 路径配置
input_path = "/mnt/prev_nas/qhy/MagicMotion/assets/mask_trajectory/mammoth_rhino.mp4"
output_path = "/mnt/prev_nas/qhy/MagicMotion/assets/mask_trajectory/mammoth_rhino_frozen_pink_bgr_range.mp4"
# 你已经验证通过的两个参考颜色（BGR）
pink_bgr = np.array([77, 80, 119], dtype=np.float32) # #77504D
red_bgr = np.array([33, 37, 117], dtype=np.float32) # #752521
# 阈值（根据你单帧测试结果，目前用 30，如果想收紧可以再调小）
T_pink = 30.0
T_red = 30.0
def get_color_masks_bgr(frame_bgr):
"""
输入: frame_bgr: uint8, HxWx3
输出: pink_mask, red_mask (bool 的 HxW)
使用 BGR 空间的欧式距离 + 阈值来划分粉色和红色。
"""
img = frame_bgr.astype(np.float32)
pixels = img.reshape(-1, 3)
dist_to_pink = np.linalg.norm(pixels - pink_bgr, axis=1)
dist_to_red = np.linalg.norm(pixels - red_bgr, axis=1)
h, w = frame_bgr.shape[:2]
pink_mask = (dist_to_pink < T_pink).reshape(h, w)
red_mask = (dist_to_red < T_red ).reshape(h, w)
# 冲突点按“谁近归谁”分配
both = pink_mask & red_mask
if both.any():
idx_flat = np.where(both.ravel())[0]
closer_to_pink = dist_to_pink[idx_flat] <= dist_to_red[idx_flat]
both_y, both_x = np.where(both)
for i, (y, x) in enumerate(zip(both_y, both_x)):
if closer_to_pink[i]:
red_mask[y, x] = False
else:
pink_mask[y, x] = False
return pink_mask, red_mask
def main():
cap = cv2.VideoCapture(input_path)
if not cap.isOpened():
raise RuntimeError(f"无法打开视频: {input_path}")
fps = cap.get(cv2.CAP_PROP_FPS)
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# 先用 mp4v 写 mp4，如果要 H.264 可以再用 ffmpeg 转
fourcc = cv2.VideoWriter_fourcc(*"mp4v")
out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
if not out.isOpened():
cap.release()
raise RuntimeError("VideoWriter 打开失败")
# ---------- 第一帧：冻结粉色 ----------
ret, first_frame = cap.read()
if not ret:
cap.release()
out.release()
raise RuntimeError("无法读取第一帧")
pink_mask_first, _ = get_color_masks_bgr(first_frame)
frozen_pink = np.zeros_like(first_frame)
frozen_pink[pink_mask_first] = first_frame[pink_mask_first]
# 回到第一帧，从头处理整段视频
cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
frame_idx = 0
while True:
ret, frame = cap.read()
if not ret:
break
_, red_mask = get_color_masks_bgr(frame)
# 当前帧红色部分
red_part = np.zeros_like(frame)
red_part[red_mask] = frame[red_mask]
# 背景黑 + 冻结粉色 + 当前红色
combined = np.zeros_like(frame)
combined += frozen_pink
combined += red_part
out.write(combined)
frame_idx += 1
if frame_idx % 50 == 0:
print(f"已处理帧数: {frame_idx}")
cap.release()
out.release()
print("处理完成，输出文件:", output_path)
if __name__ == "__main__":
main()
|