mask rcnn 测试指定图片

最新推荐文章于 2024-04-24 19:16:06 发布

HMHx2_YY

最新推荐文章于 2024-04-24 19:16:06 发布

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CC 4.0 BY-SA版权

分类专栏： Mask RCNN 文章标签： mask rcnn

本文链接：https://blog.youkuaiyun.com/HMH2_YY/article/details/81980123

这篇博客介绍了如何修改Mask R-CNN的demo.py文件，以指定并测试个人选择的图片。通过代码示例，作者展示了具体的修改步骤。

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这篇演示如何修改demo.py，来指定自己想要测试的图片，直接贴代码

# coding: utf-8
 
 
import os
import sys
import random
import math
import numpy as np
import skimage.io
import matplotlib
import matplotlib.pyplot as plt
 
# Root directory of the project
ROOT_DIR = os.path.abspath("../")
 
# Import Mask RCNN
sys.path.append(ROOT_DIR)  # To find local version of the library
from mrcnn import utils
import mrcnn.model as modellib
from mrcnn import visualize
# Import COCO config
sys.path.append(os.path.join(ROOT_DIR, "samples/coco/"))  # To find local version
import coco
 
 
# Directory to save logs and trained model
MODEL_DIR = os.path.join(ROOT_DIR, "logs")
 
# Local path to trained weights file
COCO_MODEL_PATH = os.path.join(ROOT_DIR, "mask_rcnn_coco.h5")
# Download COCO trained weights from Releases if needed
if not os.path.exists(COCO_MODEL_PATH):
    utils.download_trained_weights(COCO_MODEL_PATH)
 
# Directory of images to run detection on
IMAGE_DIR = os.path.join(RO