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Sleeping
| """ | |
| Drawing utilities adapted from DWPose (Apache-2.0): | |
| https://github.com/IDEA-Research/DWPose | |
| """ | |
| import math | |
| import cv2 | |
| import matplotlib | |
| import numpy as np | |
| eps = 0.01 | |
| def draw_bodypose_gray(canvas, candidate, subset): | |
| H, W = canvas.shape | |
| candidate = np.array(candidate) | |
| subset = np.array(subset) | |
| limbSeq = [ | |
| [2, 3], [2, 6], [3, 4], [4, 5], [6, 7], [7, 8], [2, 9], [9, 10], | |
| [10, 11], [2, 12], [12, 13], [13, 14], [2, 1], [1, 15], [15, 17], | |
| [1, 16], [16, 18], | |
| ] | |
| base_values = np.linspace(20, 240, 18).astype(np.uint8) | |
| stickwidth = 4 | |
| limb_canvas = np.zeros_like(canvas) | |
| for i in range(17): | |
| limb_gray = int(base_values[i]) | |
| for n in range(len(subset)): | |
| indexA = int(subset[n][limbSeq[i][0] - 1]) | |
| indexB = int(subset[n][limbSeq[i][1] - 1]) | |
| if indexA == -1 or indexB == -1: | |
| continue | |
| xA = int(candidate[indexA][0] * W) | |
| yA = int(candidate[indexA][1] * H) | |
| xB = int(candidate[indexB][0] * W) | |
| yB = int(candidate[indexB][1] * H) | |
| mX = (xA + xB) // 2 | |
| mY = (yA + yB) // 2 | |
| length = int(math.hypot(xA - xB, yA - yB)) | |
| angle = int(math.degrees(math.atan2(yA - yB, xA - xB))) | |
| polygon = cv2.ellipse2Poly((mX, mY), (length // 2, stickwidth), angle, 0, 360, 1) | |
| cv2.fillConvexPoly(limb_canvas, polygon, limb_gray) | |
| canvas = np.maximum(canvas, (limb_canvas * 0.6).astype(np.uint8)) | |
| keypoint_to_limb_map = {} | |
| for i, (a, b) in enumerate(limbSeq): | |
| if a not in keypoint_to_limb_map: | |
| keypoint_to_limb_map[a] = [] | |
| if b not in keypoint_to_limb_map: | |
| keypoint_to_limb_map[b] = [] | |
| keypoint_to_limb_map[a].append(i) | |
| keypoint_to_limb_map[b].append(i) | |
| for i in range(1, 19): | |
| if i not in keypoint_to_limb_map: | |
| continue | |
| connected_limbs = keypoint_to_limb_map[i] | |
| if connected_limbs: | |
| point_gray = min(255, int(base_values[connected_limbs[0]] * 1.3)) | |
| else: | |
| point_gray = 200 | |
| for n in range(len(subset)): | |
| index = int(subset[n][i - 1]) | |
| if index == -1: | |
| continue | |
| x = int(candidate[index][0] * W) | |
| y = int(candidate[index][1] * H) | |
| cv2.circle(canvas, (x, y), 4, point_gray, thickness=-1) | |
| return canvas | |
| def draw_bodypose(canvas, candidate, subset): | |
| H, W, C = canvas.shape | |
| candidate = np.array(candidate) | |
| subset = np.array(subset) | |
| stickwidth = 4 | |
| limbSeq = [ | |
| [2, 3], [2, 6], [3, 4], [4, 5], [6, 7], [7, 8], [2, 9], [9, 10], | |
| [10, 11], [2, 12], [12, 13], [13, 14], [2, 1], [1, 15], [15, 17], | |
| [1, 16], [16, 18], [3, 17], [6, 18], | |
| ] | |
| colors = [ | |
| [255, 0, 0], [255, 85, 0], [255, 170, 0], [255, 255, 0], | |
| [170, 255, 0], [85, 255, 0], [0, 255, 0], [0, 255, 85], | |
| [0, 255, 170], [0, 255, 255], [0, 170, 255], [0, 85, 255], | |
| [0, 0, 255], [85, 0, 255], [170, 0, 255], [255, 0, 255], | |
| [255, 0, 170], [255, 0, 85], | |
| ] | |
| for i in range(17): | |
| for n in range(len(subset)): | |
| index = subset[n][np.array(limbSeq[i]) - 1] | |
| if -1 in index: | |
| continue | |
| Y = candidate[index.astype(int), 0] * float(W) | |
| X = candidate[index.astype(int), 1] * float(H) | |
| mX = np.mean(X) | |
| mY = np.mean(Y) | |
| length = ((X[0] - X[1]) ** 2 + (Y[0] - Y[1]) ** 2) ** 0.5 | |
| angle = math.degrees(math.atan2(X[0] - X[1], Y[0] - Y[1])) | |
| polygon = cv2.ellipse2Poly((int(mY), int(mX)), (int(length / 2), stickwidth), int(angle), 0, 360, 1) | |
| cv2.fillConvexPoly(canvas, polygon, colors[i]) | |
| canvas = (canvas * 0.6).astype(np.uint8) | |
| for i in range(18): | |
| for n in range(len(subset)): | |
| index = int(subset[n][i]) | |
| if index == -1: | |
| continue | |
| x, y = candidate[index][0:2] | |
| x = int(x * W) | |
| y = int(y * H) | |
| cv2.circle(canvas, (int(x), int(y)), 4, colors[i], thickness=-1) | |
| return canvas | |
| def draw_handpose(canvas, all_hand_peaks): | |
| H, W, C = canvas.shape | |
| edges = [ | |
| [0, 1], [1, 2], [2, 3], [3, 4], [0, 5], [5, 6], [6, 7], [7, 8], | |
| [0, 9], [9, 10], [10, 11], [11, 12], [0, 13], [13, 14], [14, 15], | |
| [15, 16], [0, 17], [17, 18], [18, 19], [19, 20], | |
| ] | |
| for peaks in all_hand_peaks: | |
| peaks = np.array(peaks) | |
| for ie, e in enumerate(edges): | |
| x1, y1 = peaks[e[0]] | |
| x2, y2 = peaks[e[1]] | |
| x1 = int(x1 * W) | |
| y1 = int(y1 * H) | |
| x2 = int(x2 * W) | |
| y2 = int(y2 * H) | |
| if x1 > eps and y1 > eps and x2 > eps and y2 > eps: | |
| cv2.line( | |
| canvas, | |
| (x1, y1), | |
| (x2, y2), | |
| matplotlib.colors.hsv_to_rgb([ie / float(len(edges)), 1.0, 1.0]) * 255, | |
| thickness=2, | |
| ) | |
| for i, keypoint in enumerate(peaks): | |
| x, y = keypoint | |
| x = int(x * W) | |
| y = int(y * H) | |
| if x > eps and y > eps: | |
| cv2.circle(canvas, (x, y), 4, (0, 0, 255), thickness=-1) | |
| return canvas | |
| def draw_facepose(canvas, all_lmks): | |
| H, W, C = canvas.shape | |
| for lmks in all_lmks: | |
| lmks = np.array(lmks) | |
| for lmk in lmks: | |
| x, y = lmk | |
| x = int(x * W) | |
| y = int(y * H) | |
| if x > eps and y > eps: | |
| cv2.circle(canvas, (x, y), 3, (255, 255, 255), thickness=-1) | |
| return canvas | |
| def draw_handpose_gray(canvas, all_hand_peaks): | |
| H, W = canvas.shape | |
| edges = [ | |
| [0, 1], [1, 2], [2, 3], [3, 4], [0, 5], [5, 6], [6, 7], [7, 8], | |
| [0, 9], [9, 10], [10, 11], [11, 12], [0, 13], [13, 14], [14, 15], | |
| [15, 16], [0, 17], [17, 18], [18, 19], [19, 20], | |
| ] | |
| edge_values = np.linspace(160, 220, len(edges)).astype(np.uint8) | |
| for peaks in all_hand_peaks: | |
| peaks = np.array(peaks) | |
| for ie, e in enumerate(edges): | |
| x1, y1 = peaks[e[0]] | |
| x2, y2 = peaks[e[1]] | |
| x1 = int(x1 * W) | |
| y1 = int(y1 * H) | |
| x2 = int(x2 * W) | |
| y2 = int(y2 * H) | |
| if x1 > eps and y1 > eps and x2 > eps and y2 > eps: | |
| cv2.line(canvas, (x1, y1), (x2, y2), int(edge_values[ie]), thickness=2) | |
| for i, keypoint in enumerate(peaks): | |
| x, y = keypoint | |
| x = int(x * W) | |
| y = int(y * H) | |
| if x > eps and y > eps: | |
| cv2.circle(canvas, (x, y), 4, 240, thickness=-1) | |
| return canvas | |
| def draw_facepose_gray(canvas, all_lmks): | |
| H, W = canvas.shape | |
| for lmks in all_lmks: | |
| lmks = np.array(lmks) | |
| for lmk in lmks: | |
| x, y = lmk | |
| x = int(x * W) | |
| y = int(y * H) | |
| if x > eps and y > eps: | |
| cv2.circle(canvas, (x, y), 3, 200, thickness=-1) | |
| return canvas | |