(canvas, candidate, subset, score)
| 14 | return [int(c * alpha) for c in color] |
| 15 | |
| 16 | def draw_bodypose(canvas, candidate, subset, score): |
| 17 | H, W, C = canvas.shape |
| 18 | candidate = np.array(candidate) |
| 19 | subset = np.array(subset) |
| 20 | |
| 21 | stickwidth = 4 |
| 22 | |
| 23 | limbSeq = [[2, 3], [2, 6], [3, 4], [4, 5], [6, 7], [7, 8], [2, 9], [9, 10], \ |
| 24 | [10, 11], [2, 12], [12, 13], [13, 14], [2, 1], [1, 15], [15, 17], \ |
| 25 | [1, 16], [16, 18], [3, 17], [6, 18]] |
| 26 | |
| 27 | colors = [[255, 0, 0], [255, 85, 0], [255, 170, 0], [255, 255, 0], [170, 255, 0], [85, 255, 0], [0, 255, 0], \ |
| 28 | [0, 255, 85], [0, 255, 170], [0, 255, 255], [0, 170, 255], [0, 85, 255], [0, 0, 255], [85, 0, 255], \ |
| 29 | [170, 0, 255], [255, 0, 255], [255, 0, 170], [255, 0, 85]] |
| 30 | |
| 31 | for i in range(17): |
| 32 | for n in range(len(subset)): |
| 33 | index = subset[n][np.array(limbSeq[i]) - 1] |
| 34 | conf = score[n][np.array(limbSeq[i]) - 1] |
| 35 | if conf[0] < 0.3 or conf[1] < 0.3: |
| 36 | continue |
| 37 | Y = candidate[index.astype(int), 0] * float(W) |
| 38 | X = candidate[index.astype(int), 1] * float(H) |
| 39 | mX = np.mean(X) |
| 40 | mY = np.mean(Y) |
| 41 | length = ((X[0] - X[1]) ** 2 + (Y[0] - Y[1]) ** 2) ** 0.5 |
| 42 | angle = math.degrees(math.atan2(X[0] - X[1], Y[0] - Y[1])) |
| 43 | polygon = cv2.ellipse2Poly((int(mY), int(mX)), (int(length / 2), stickwidth), int(angle), 0, 360, 1) |
| 44 | cv2.fillConvexPoly(canvas, polygon, alpha_blend_color(colors[i], conf[0] * conf[1])) |
| 45 | |
| 46 | canvas = (canvas * 0.6).astype(np.uint8) |
| 47 | |
| 48 | for i in range(18): |
| 49 | for n in range(len(subset)): |
| 50 | index = int(subset[n][i]) |
| 51 | if index == -1: |
| 52 | continue |
| 53 | x, y = candidate[index][0:2] |
| 54 | conf = score[n][i] |
| 55 | x = int(x * W) |
| 56 | y = int(y * H) |
| 57 | cv2.circle(canvas, (int(x), int(y)), 4, alpha_blend_color(colors[i], conf), thickness=-1) |
| 58 | |
| 59 | return canvas |
| 60 | |
| 61 | def draw_handpose(canvas, all_hand_peaks, all_hand_scores): |
| 62 | H, W, C = canvas.shape |
no test coverage detected