识别到的目标不能全部框出来,我的情况跟教程系列的42一样,就是不能完全圈出来
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为什么我x y w h 计算的都是整个图
尽管识别到的目标不是占据整个画面的全部也是这样
# Edge Impulse - OpenMV Image Classification Example import sensor, image, time, os, tf, uos, gc , math 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. net = None labels = None min_confidence = 0.8 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: print(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 = [(255,0,0),(0,255,0),(255,255,0)] clock = time.clock() while(True): clock.tick() img = sensor.snapshot() result =net.detect(img,thresholds=[(math.ceil(min_confidence*255),255)]) print(result) for i,detection_list in enumerate(result): if(len(detection_list)==0):continue # no detections for this class? print("********** %s **********" %labels[i]) 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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