96 lines
2.2 KiB
Python
96 lines
2.2 KiB
Python
|
import cv2
|
|||
|
|
import numpy as np
|
|||
|
|
import os
|
|||
|
|
from ultralytics import YOLO
|
|||
|
|
|
|||
|
|
# ---------------- 配置 ----------------
|
|||
|
|
MODEL_PATH = "60seg.pt"
|
|||
|
|
IMAGE_PATH = "1.png" # 支持任意路径
|
|||
|
|
IMG_SIZE = 640
|
|||
|
|
CONF_THRES = 0.25
|
|||
|
|
ALPHA = 0.5
|
|||
|
|
# -------------------------------------
|
|||
|
|
|
|||
|
|
|
|||
|
|
def get_color(idx):
|
|||
|
|
np.random.seed(idx)
|
|||
|
|
return tuple(int(x) for x in np.random.randint(0, 255, 3))
|
|||
|
|
|
|||
|
|
|
|||
|
|
def draw_segmentation(frame, result):
|
|||
|
|
"""
|
|||
|
|
仅填充 mask，不画标签、不画轮廓
|
|||
|
|
同时返回每个 mask 的类别名和面积
|
|||
|
|
"""
|
|||
|
|
overlay = frame.copy()
|
|||
|
|
|
|||
|
|
if result.masks is None:
|
|||
|
|
return frame, []
|
|||
|
|
|
|||
|
|
boxes = result.boxes
|
|||
|
|
areas = []
|
|||
|
|
|
|||
|
|
for i, poly in enumerate(result.masks.xy):
|
|||
|
|
cls_id = int(boxes.cls[i])
|
|||
|
|
conf = float(boxes.conf[i])
|
|||
|
|
|
|||
|
|
if conf < CONF_THRES:
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
color = get_color(cls_id)
|
|||
|
|
poly = poly.astype(np.int32)
|
|||
|
|
|
|||
|
|
# 计算面积（像素）
|
|||
|
|
area = cv2.contourArea(poly)
|
|||
|
|
areas.append((result.names[cls_id], area))
|
|||
|
|
|
|||
|
|
# 仅填充 mask
|
|||
|
|
cv2.fillPoly(overlay, [poly], color)
|
|||
|
|
|
|||
|
|
blended = cv2.addWeighted(overlay, ALPHA, frame, 1 - ALPHA, 0)
|
|||
|
|
return blended, areas
|
|||
|
|
|
|||
|
|
|
|||
|
|
def run_image_inference():
|
|||
|
|
# 加载模型
|
|||
|
|
model = YOLO(MODEL_PATH)
|
|||
|
|
|
|||
|
|
# 读取图片
|
|||
|
|
img = cv2.imread(IMAGE_PATH)
|
|||
|
|
if img is None:
|
|||
|
|
raise FileNotFoundError(f" 无法读取图片: {IMAGE_PATH}")
|
|||
|
|
|
|||
|
|
print(f"正在处理: {IMAGE_PATH}")
|
|||
|
|
|
|||
|
|
# 推理
|
|||
|
|
results = model(
|
|||
|
|
img,
|
|||
|
|
imgsz=IMG_SIZE,
|
|||
|
|
conf=CONF_THRES,
|
|||
|
|
verbose=False
|
|||
|
|
)
|
|||
|
|
result = results[0]
|
|||
|
|
|
|||
|
|
# 生成可视化图（无标签）
|
|||
|
|
vis, areas = draw_segmentation(img, result)
|
|||
|
|
|
|||
|
|
# 输出到原图所在文件夹
|
|||
|
|
base_name = os.path.splitext(IMAGE_PATH)[0] # 如 "/path/to/1"
|
|||
|
|
out_path = base_name + "_seg.png" # → "/path/to/1_seg.png"
|
|||
|
|
|
|||
|
|
# 保存
|
|||
|
|
cv2.imwrite(out_path, vis)
|
|||
|
|
|
|||
|
|
# 打印面积
|
|||
|
|
print("\n📊 Mask 面积统计 (像素):")
|
|||
|
|
if areas:
|
|||
|
|
for name, area in areas:
|
|||
|
|
print(f" • {name}: {area:.1f}")
|
|||
|
|
else:
|
|||
|
|
print(" (无有效 mask)")
|
|||
|
|
|
|||
|
|
print(f"\n完成！可视化结果已保存至:\n {out_path}")
|
|||
|
|
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
run_image_inference()
|