Code README mask_SSD-Inceptionv2 Introduction 这是我前段时间参加的一个口罩检测比赛使用的代码。使用的是谷歌公司推出的object detection API中的SSD-Inceptionv2模型,现记录于此。 注:这次比赛是在云服务器上跑的,其中Dockerfile里的内容是用于构建镜像的。如果在本地服务器上跑,可以把其中的内容在Terminal或者shel...
A real-time face mask detector based on computer vision and deep learning, created using Pytorch and OpenCV pythonopencvcomputer-visiondeep-learningpytorchface-recognitionmobilenetv2mask-detectionface-mask-detectionface-mask-detector UpdatedNov 13, 2020 ...
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dataset.load_coco(COCO_DIR,"train")#Must call before using the datasetdataset.prepare()print("Image Count: {}".format(len(dataset.image_ids)))print("Class Count: {}".format(dataset.num_classes))fori, infoinenumerate(dataset.class_info):print("{:3}. {:50}".format(i, info['name']...
image_id, use_mini_mask=False)#Run object detectionresults = model.detect([image], verbose=0)#Compute APr =results[0] AP, precisions, recalls, overlaps=\ utils.compute_ap(gt_bbox, gt_class_id, gt_mask, r['rois'], r['class_ids'], r['scores'], r['masks']) ...
Object Detection in TensorFlow 1 Before starting this section, make sure TensorFlow 1 ($\geq$1.3.0) is installed. You can check the version using the following code: importtensorflowprint(tensorflow.__version__) Copy The steps to use the Mask_RCNN project to detect objects in an image are...
dataset.load_coco(COCO_DIR,"train")#Must call before using the datasetdataset.prepare()print("Image Count: {}".format(len(dataset.image_ids)))print("Class Count: {}".format(dataset.num_classes))fori, infoinenumerate(dataset.class_info):print("{:3}. {:50}".format(i, info['name']...
Python Table of Contents Face Mask Classification using TensorflowImporting Required LibrariesCreating a data generatorSplitting the data into Training and Test SetCreating and Compiling the Deep Learning ModelTraining the model on Training dataEvaluating the model on Test DataHelper function to predict and...
print('Using config:') pprint.pprint(cfg) while not os.path.exists(args.caffemodel) and args.wait: #判断是否找到测试模型 print('Waiting for {} to exist...'.format(args.caffemodel)) time.sleep(10) caffe.set_mode_gpu() #一些初始化过程 ...
python3 balloon.py splash --weights=/path/to/weights/file.h5 --image=<URL or path to file> # Apply color splash to video using the last weights you trained python3 balloon.py splash --weights=last --video=<URL or path to file> """ import os import sys import json import datetime ...