按照例程做的追踪小球的小车在没有识别到小球原地旋转的时候 如果发现了小球的话会突然冲刺,而不是像视频里面那个稳稳的跟踪它
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# Blob Detection Example # # This example shows off how to use the find_blobs function to find color # blobs in the image. This example in particular looks for dark green objects. import sensor, image, time import car from pid import PID # You may need to tweak the above settings for tracking green things... # Select an area in the Framebuffer to copy the color settings. sensor.reset() # Initialize the camera sensor. sensor.set_pixformat(sensor.RGB565) # use RGB565. sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed. sensor.skip_frames(10) # Let new settings take affect. sensor.set_auto_whitebal(False) # turn this off. clock = time.clock() # Tracks FPS. # For color tracking to work really well you should ideally be in a very, very, # very, controlled enviroment where the lighting is constant... green_threshold = (52, 82, -67, -47, 26, 61) size_threshold = 1000 x_pid = PID(p=0.5, i=1, imax=100) h_pid = PID(p=0.01, i=0.1, imax=50) def find_max(blobs): max_size=0 for blob in blobs: if blob[2]*blob[3] > max_size: max_blob=blob max_size = blob[2]*blob[3] return max_blob while(True): clock.tick() # Track elapsed milliseconds between snapshots(). img = sensor.snapshot() # Take a picture and return the image. blobs = img.find_blobs([green_threshold]) if blobs: max_blob = find_max(blobs) x_error = max_blob[5]-img.width()/2 h_error = max_blob[2]*max_blob[3]-size_threshold print("x error: ", x_error) ''' for b in blobs: # Draw a rect around the blob. img.draw_rectangle(b[0:4]) # rect img.draw_cross(b[5], b[6]) # cx, cy ''' img.draw_rectangle(max_blob[0:4]) # rect img.draw_cross(max_blob[5], max_blob[6]) # cx, cy x_output=x_pid.get_pid(x_error,1) h_output=h_pid.get_pid(h_error,1) print("h_output",h_output) car.run((-h_output+x_output)*0.5,(-h_output+x_output)*0.5) else: car.run(10,-10)
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把P值调小一些。