4. 用阈值编辑器得出的蓝色阈值范围，用的也是IDE自带的示例，但是始终识别不出蓝色，这该怎么解决
  • 免费好用的星瞳AI云服务上线！简单标注，云端训练，支持OpenMV H7和OpenMV H7 Plus。可以替代edge impulse。 https://forum.singtown.com/topic/9519
  • 我们只解决官方正版的OpenMV的问题（STM32），其他的分支有很多兼容问题，我们无法解决。
  • 如果有产品硬件故障问题，比如无法开机，论坛很难解决。可以直接找售后维修。
  • 发帖子之前，请确认看过所有的视频教程，https://singtown.com/learn/ 和所有的上手教程http://book.openmv.cc/
  • 每一个新的提问，单独发一个新帖子
  • 帖子需要目的，你要做什么？
  • 如果涉及代码，需要报错提示与全部代码文本，请注意不要贴代码图片
  • 必看：玩转星瞳论坛了解一下图片上传，代码格式等问题。

    • 用阈值编辑器得出的蓝色阈值范围，用的也是IDE自带的示例，但是始终识别不出蓝色，这该怎么解决

    • V
       

      # This work is licensed under the MIT license.
# Copyright (c) 2013-2023 OpenMV LLC. All rights reserved.
# https://github.com/openmv/openmv/blob/master/LICENSE
#
# Single Color RGB565 Blob Tracking Example
#
# This example shows off single color RGB565 tracking using the OpenMV Cam.

import sensor
import time
import math

threshold_index = 0  # 0 for red, 1 for green, 2 for blue

# Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
# The below thresholds track in general red/green/blue things. You may wish to tune them...
thresholds = [
    (30, 100, 15, 127, 15, 127),  # generic_red_thresholds
    (30, 100, -64, -8, -32, 32),  # generic_green_thresholds
    (16, 40, -71, 29, -98, -22),
]  # generic_blue_thresholds

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time=2000)
sensor.set_auto_gain(False)  # must be turned off for color tracking
sensor.set_auto_whitebal(False)  # must be turned off for color tracking
clock = time.clock()

# Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
# returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
# camera resolution. "merge=True" merges all overlapping blobs in the image.

while True:
    clock.tick()
    img = sensor.snapshot()
    for blob in img.find_blobs(
        [thresholds[threshold_index]],
        pixels_threshold=200,
        area_threshold=200,
        merge=True,
    ):
        # These values depend on the blob not being circular - otherwise they will be shaky.
        if blob.elongation() > 0.5:
            img.draw_edges(blob.min_corners(), color=(255, 0, 0))
            img.draw_line(blob.major_axis_line(), color=(0, 255, 0))
            img.draw_line(blob.minor_axis_line(), color=(0, 0, 255))
        # These values are stable all the time.
        img.draw_rectangle(blob.rect())
        img.draw_cross(blob.cx(), blob.cy())
        # Note - the blob rotation is unique to 0-180 only.
        img.draw_keypoints(
            [(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20
        )

      0_1726663971371_屏幕截图 2024-09-18 204957.png

      0

    • 你代码里的阈值和阈值编辑器的不一致。

      0
    • V

      我改过，还是不行，试过提取好几个不同的蓝色物品的阈值来试验也不行

      0