find_circles#
# Find Circles Example
#
# This example shows off how to find circles in the image using the Hough
# Transform. https://en.wikipedia.org/wiki/Circle_Hough_Transform
#
# Note that the find_circles() method will only find circles which are completely
# inside of the image. Circles which go outside of the image/roi are ignored...
from media.camera import *
from media.display import *
from media.media import *
import time, os, gc, sys
DISPLAY_WIDTH = ALIGN_UP(1920, 16)
DISPLAY_HEIGHT = 1080
SCALE = 4
DETECT_WIDTH = DISPLAY_WIDTH // SCALE
DETECT_HEIGHT = DISPLAY_HEIGHT // SCALE
def camera_init():
# use hdmi for display
display.init(LT9611_1920X1080_30FPS)
# config vb for osd layer
config = k_vb_config()
config.max_pool_cnt = 1
config.comm_pool[0].blk_size = 4*DISPLAY_WIDTH*DISPLAY_HEIGHT
config.comm_pool[0].blk_cnt = 1
config.comm_pool[0].mode = VB_REMAP_MODE_NOCACHE
# meida buffer config
media.buffer_config(config)
# init default sensor
camera.sensor_init(CAM_DEV_ID_0, CAM_DEFAULT_SENSOR)
# set chn0 output size
camera.set_outsize(CAM_DEV_ID_0, CAM_CHN_ID_0, DISPLAY_WIDTH, DISPLAY_HEIGHT)
# set chn0 output format
camera.set_outfmt(CAM_DEV_ID_0, CAM_CHN_ID_0, PIXEL_FORMAT_YUV_SEMIPLANAR_420)
# create meida source device
globals()["meida_source"] = media_device(CAMERA_MOD_ID, CAM_DEV_ID_0, CAM_CHN_ID_0)
# create meida sink device
globals()["meida_sink"] = media_device(DISPLAY_MOD_ID, DISPLAY_DEV_ID, DISPLAY_CHN_VIDEO1)
# create meida link
media.create_link(meida_source, meida_sink)
# set display plane with video channel
display.set_plane(0, 0, DISPLAY_WIDTH, DISPLAY_HEIGHT, PIXEL_FORMAT_YVU_PLANAR_420, DISPLAY_MIRROR_NONE, DISPLAY_CHN_VIDEO1)
# set chn1 output nv12
camera.set_outsize(CAM_DEV_ID_0, CAM_CHN_ID_1, DETECT_WIDTH, DETECT_HEIGHT)
camera.set_outfmt(CAM_DEV_ID_0, CAM_CHN_ID_1, PIXEL_FORMAT_RGB_888)
# media buffer init
media.buffer_init()
# request media buffer for osd image
globals()["buffer"] = media.request_buffer(4 * DISPLAY_WIDTH * DISPLAY_HEIGHT)
# start stream for camera device0
camera.start_stream(CAM_DEV_ID_0)
def camera_deinit():
# stop stream for camera device0
camera.stop_stream(CAM_DEV_ID_0)
# deinit display
display.deinit()
os.exitpoint(os.EXITPOINT_ENABLE_SLEEP)
time.sleep_ms(100)
# release media buffer
media.release_buffer(globals()["buffer"])
# destroy media link
media.destroy_link(globals()["meida_source"], globals()["meida_sink"])
# deinit media buffer
media.buffer_deinit()
def capture_picture():
# create image for drawing
draw_img = image.Image(DISPLAY_WIDTH, DISPLAY_HEIGHT, image.ARGB8888)
# create image for osd
buffer = globals()["buffer"]
osd_img = image.Image(DISPLAY_WIDTH, DISPLAY_HEIGHT, image.ARGB8888, alloc=image.ALLOC_VB, phyaddr=buffer.phys_addr, virtaddr=buffer.virt_addr, poolid=buffer.pool_id)
osd_img.clear()
display.show_image(osd_img, 0, 0, DISPLAY_CHN_OSD0)
fps = time.clock()
while True:
fps.tick()
try:
os.exitpoint()
rgb888_img = camera.capture_image(CAM_DEV_ID_0, CAM_CHN_ID_1)
img = rgb888_img.to_rgb565()
camera.release_image(CAM_DEV_ID_0, CAM_CHN_ID_1, rgb888_img)
draw_img.clear()
# Circle objects have four values: x, y, r (radius), and magnitude. The
# magnitude is the strength of the detection of the circle. Higher is
# better...
# `threshold` controls how many circles are found. Increase its value
# to decrease the number of circles detected...
# `x_margin`, `y_margin`, and `r_margin` control the merging of similar
# circles in the x, y, and r (radius) directions.
# r_min, r_max, and r_step control what radiuses of circles are tested.
# Shrinking the number of tested circle radiuses yields a big performance boost.
for c in img.find_circles(threshold = 2000, x_margin = 10, y_margin = 10, r_margin = 10,
r_min = 2, r_max = 100, r_step = 2):
draw_img.draw_circle(c.x()*SCALE, c.y()*SCALE, c.r()*SCALE, color = (255, 0, 0))
print(c)
draw_img.copy_to(osd_img)
del img
gc.collect()
print(fps.fps())
except KeyboardInterrupt as e:
print("user stop: ", e)
break
except BaseException as e:
sys.print_exception(e)
break
def main():
os.exitpoint(os.EXITPOINT_ENABLE)
camera_is_init = False
try:
print("camera init")
camera_init()
camera_is_init = True
print("camera capture")
capture_picture()
except Exception as e:
sys.print_exception(e)
finally:
if camera_is_init:
print("camera deinit")
camera_deinit()
if __name__ == "__main__":
main()
具体接口使用请参考相关文档说明: