import sensor, image kpts_threshold = 20 kpts_corner = image.CORNER_FAST def init_kpts(str): temp_img = image.Image(f"./{str}.jpg",copy_to_fb=True) temp_img.to_grayscale() kpts = temp_img.find_keypoints(max_keypoints=128, threshold=kpts_threshold, corner_detector=kpts_corner, scale_factor=1.2) temp_img.dealloc_extra_fb() return kpts def match_kpts(kpts0, kpts1): if kpts0 is not None and kpts1 is not None: match = image.match_descriptor(kpts0, kpts1, threshold=70) #print("matched:%d dt:%d"%(match.count(), match.theta())) if match.count() > 0: print(match.count()) return match.count() > 1 else: return 0 def read_red_sign(val, img, kpts): if match_kpts(kpts, stop): img.draw_rectangle(val.rect()) #img.draw_cross(match.cx(), match.cy(), size=10) #print("stop") return 0x01 if match_kpts(kpts, speed): img.draw_rectangle(val.rect()) #print("speed") return 0x02 if match_kpts(kpts, car): img.draw_rectangle(val.rect()) #print("car") return 0x03 #def read_red_sign(val, img, kpts): def sign_detection(img_sign): img = img_sign.copy() ######## Detect signs blobs_r = img.find_blobs([(0, 100, 25, 63, -128, 127)]) blobs_b = img.find_blobs([(0, 29, 11, -128, -31, -5)]) #print(f"old: { len(blobs_r) + len(blobs_b) }") blobs_r[:] = [b for b in blobs_r if (b.convexity() < 0.7 and b.area() > 64)] blobs_b[:] = [b for b in blobs_b if (b.convexity() < 0.7 and b.area() > 64)] #print(f"new: { len(blobs_r) + len(blobs_b) }") ######## Read signs img = img.to_grayscale() sign_buffer = 0x00 if(len(blobs_r) > 0 or len(blobs_b) > 0): kpts_img = img.find_keypoints(max_keypoints=255, threshold=kpts_threshold, corner_detector=kpts_corner) for index, b in enumerate(blobs_r): sign_buffer = read_red_sign(b, img, kpts_img) for index, b in enumerate(blobs_b): sign_buffer = read_blu_sign(b, img, kpts_img) sensor.dealloc_extra_fb() return sign_buffer