识别信号灯的程序,跟着教程做的,运行时识别到信号灯就报错了,没有改过代码
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# Edge Impulse - OpenMV Object Detection Example import sensor, image, time, os, tf, math, uos, gc sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240) sensor.set_windowing((240, 240)) # Set 240x240 window. sensor.skip_frames(time=2000) # Let the camera adjust. #导入文件 net = None labels = None min_confidence = 0.5 try: # load the model, alloc the model file on the heap if we have at least 64K free after loading net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024))) except Exception as e: raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')') try: labels = [line.rstrip('\n') for line in open("labels.txt")] except Exception as e: raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')') colors = [ # Add more colors if you are detecting more than 7 types of classes at once. (255, 0, 0), #red ( 0, 255, 0), #green (255, 255, 0), #yellow ( 0, 0, 255), #blue (255, 0, 255), ( 0, 255, 255), (255, 255, 255), ] clock = time.clock() while(True): clock.tick() img = sensor.snapshot() # detect() returns all objects found in the image (splitted out per class already) # we skip class index 0, as that is the background, and then draw circles of the center # of our objects for i, detection_list in enumerate(net.detect(img, thresholds=[(math.ceil(min_confidence * 255), 255)])): if (i == 0): continue # background class if (len(detection_list) == 0): continue # no detections for this class? print("********** %s **********" % labels[i]) qty=len(detection_list) print ("qty=%d"%qty) for d in detection_list: [x, y, w, h] = d.rect() center_x = math.floor(x + (w / 2)) center_y = math.floor(y + (h / 2)) print('x %d\ty %d' % (center_x, center_y)) img.draw_circle((center_x, center_y, 12), color=colors[i], thickness=2) print(clock.fps(), "fps", end="\n\n")
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原因:你的类别太多了,超出了颜色的列表。
解决办法:在colors里添加更多的颜色
colors = [ # Add more colors if you are detecting more than 7 types of classes at once.
(255, 0, 0), #red
( 0, 255, 0), #green
(255, 255, 0), #yellow
( 0, 0, 255), #blue
(255, 0, 255),
( 0, 255, 255),
(255, 255, 255),
(255, 0, 0), #red
( 0, 255, 0), #green
(255, 255, 0), #yellow
( 0, 0, 255), #blue
(255, 0, 255),
( 0, 255, 255),
(255, 255, 255),
(255, 0, 0), #red
( 0, 255, 0), #green
(255, 255, 0), #yellow
( 0, 0, 255), #blue
(255, 0, 255),
( 0, 255, 255),
(255, 255, 255),
]
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可是我只识别了两种颜色啊