| |
| import cv2 |
| import numpy as np |
|
|
| skeleton = [[15, 13], [13, 11], [16, 14], [14, 12], [11, 12], [5, 11], [6, 12], [5, 6], [5, 7], [6, 8], [7, 9], [8, 10], |
| [1, 2], [0, 1], [0, 2], [1, 3], [2, 4], [3, 5], [4, 6]] |
|
|
| pose_kpt_color = [[51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [0, 255, 0], |
| [255, 128, 0], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0], |
| [0, 255, 0], [255, 128, 0], [0, 255, 0], [255, 128, 0]] |
|
|
| pose_link_color = [[0, 255, 0], [0, 255, 0], [255, 128, 0], [255, 128, 0], |
| [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], [0, 255, 0], [255, 128, 0], |
| [0, 255, 0], [255, 128, 0], [51, 153, 255], [51, 153, 255], [51, 153, 255], [51, 153, 255], |
| [51, 153, 255], [51, 153, 255], [51, 153, 255]] |
|
|
|
|
| def imshow_keypoints(img, |
| pose_result, |
| kpt_score_thr=0.1, |
| radius=2, |
| thickness=2): |
| """Draw keypoints and links on an image. |
| |
| Args: |
| img (ndarry): The image to draw poses on. |
| pose_result (list[kpts]): The poses to draw. Each element kpts is |
| a set of K keypoints as an Kx3 numpy.ndarray, where each |
| keypoint is represented as x, y, score. |
| kpt_score_thr (float, optional): Minimum score of keypoints |
| to be shown. Default: 0.3. |
| thickness (int): Thickness of lines. |
| """ |
|
|
| img_h, img_w, _ = img.shape |
| img = np.zeros(img.shape) |
|
|
| for idx, kpts in enumerate(pose_result): |
| if idx > 1: |
| continue |
| kpts = kpts['keypoints'] |
| |
| kpts = np.array(kpts, copy=False) |
|
|
| |
| assert len(pose_kpt_color) == len(kpts) |
|
|
| for kid, kpt in enumerate(kpts): |
| x_coord, y_coord, kpt_score = int(kpt[0]), int(kpt[1]), kpt[2] |
|
|
| if kpt_score < kpt_score_thr or pose_kpt_color[kid] is None: |
| |
| continue |
|
|
| color = tuple(int(c) for c in pose_kpt_color[kid]) |
| cv2.circle(img, (int(x_coord), int(y_coord)), radius, color, -1) |
|
|
| |
|
|
| for sk_id, sk in enumerate(skeleton): |
| pos1 = (int(kpts[sk[0], 0]), int(kpts[sk[0], 1])) |
| pos2 = (int(kpts[sk[1], 0]), int(kpts[sk[1], 1])) |
|
|
| if (pos1[0] <= 0 or pos1[0] >= img_w or pos1[1] <= 0 or pos1[1] >= img_h or pos2[0] <= 0 |
| or pos2[0] >= img_w or pos2[1] <= 0 or pos2[1] >= img_h or kpts[sk[0], 2] < kpt_score_thr |
| or kpts[sk[1], 2] < kpt_score_thr or pose_link_color[sk_id] is None): |
| |
| continue |
| color = tuple(int(c) for c in pose_link_color[sk_id]) |
| cv2.line(img, pos1, pos2, color, thickness=thickness) |
|
|
| return img |
|
|