YOLO基本用法_from ultralytics import yolo

获取YOLO数据

from ultralytics import YOLO

# 加载模型
model = YOLO('yolov8n.pt')

# 预测视频帧
result = model.predict(frame) 

for output in result:
	conf = output.boxes.conf
    xyxy = output.boxes.xyxy
   	cls = output.boxes.cls 

#绘制结果
res_plotted = result[0].plot()
cv2.imwrite("runs/out.jpg", res_plotted)

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获取yolo的颜色器(BGR)

from ultralytics.yolo.utils.plotting import colors
# 0: person
c = 0
color = colors(c)
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yolov8的结果绘制源码：

ultralytics/yolo/engine/results
ultralytics/yolo/utils/plotting.py
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yolo-pose 返回数据分析

res = model.predict(input)
keypoints = res[0].keypoints
# keypoints[0]:
# tensor([[252.1356,  53.5941,   0.9974],
#         [259.1374,  46.1328,   0.9820],
#         [244.4133,  46.8059,   0.9837],
#         [272.5132,  51.1340,   0.6986],
#         [234.5109,  54.0464,   0.7821],
#         [281.7415,  92.0788,   0.9962],
#         [217.0259,  99.8510,   0.9987],
#         [303.3503, 131.4309,   0.9885],
#         [179.2675, 159.3849,   0.9960],
#         [343.6052, 121.5844,   0.9864],
#         [229.3094, 191.5756,   0.9945],
#         [266.0266, 201.0648,   0.9996],
#         [217.8109, 209.0343,   0.9996],
#         [315.8262, 278.2117,   0.9988],
#         [224.8120, 302.9610,   0.9987],
#         [332.7999, 377.5961,   0.9824],
#         [174.8404, 340.4106,   0.9840]], device='cuda:0')

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返回的关键点共17个，keypoints.shape = [17, 3]，分别是 x ,y ,conf

关键点是有顺序的，如图标注
连接规则&颜色：

skeleton = [[16, 14], [14, 12], [17, 15], [15, 13], [12, 13], [6, 12], [7, 13], [6, 7], [6, 8], [7, 9],
                         [8, 10], [9, 11], [2, 3], [1, 2], [1, 3], [2, 4], [3, 5], [4, 6], [5, 7]]

pose_palette = np.array([[255, 128, 0], [255, 153, 51], [255, 178, 102], [230, 230, 0], [255, 153, 255],
                                      [153, 204, 255], [255, 102, 255], [255, 51, 255], [102, 178, 255], [51, 153, 255],
                                      [255, 153, 153], [255, 102, 102], [255, 51, 51], [153, 255, 153], [102, 255, 102],
                                      [51, 255, 51], [0, 255, 0], [0, 0, 255], [255, 0, 0], [255, 255, 255]],
                                     dtype=np.uint8)

kpt_color = pose_palette[[16, 16, 16, 16, 16, 0, 0, 0, 0, 0, 0, 9, 9, 9, 9, 9, 9]]
limb_color = pose_palette[[9, 9, 9, 9, 7, 7, 7, 0, 0, 0, 0, 0, 16, 16, 16, 16, 16, 16, 16]]
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各个身体部分在skeleton中的序号：

# 拼音
body_name_dict = {'zuoxiaotui': 0, 'zuodatui': 1, 
                     'youxiaotui': 2, 'youdatui': 3, 
                     'kua': 4, 'zuoce': 5, 'youce': 6, 'shuangjian': 7, 
                     'zuodabi': 8, 'youdabi': 9, 'zuoxiaobi': 10, 'youxiaobi': 11, 'tou': '12:19'}
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