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Home > Apron type protective clothing

Apron type protective clothing

Shanghai Sunland Industrial Co., Ltd is the top manufacturer of Personal Protect Equipment in China, with 20 years’experience. We are the Chinese government appointed manufacturer for government power,personal protection equipment , medical instruments,construction industry, etc. All the products get the CE, ANSI and related Industry Certificates. All our safety helmets use the top-quality raw material without any recycling material.

Why choose us

Solutions to meet different needs

Solutions to meet different needs

We provide exclusive customization of the products logo, using advanced printing technology and technology, not suitable for fading, solid and firm, scratch-proof and anti-smashing, and suitable for various scenes such as construction, mining, warehouse, inspection, etc. Our goal is to satisfy your needs. Demand, do your best.

Highly specialized team and products

Highly specialized team and products

Professional team work and production line which can make nice quality in short time.

We trade with an open mind

We trade with an open mind

We abide by the privacy policy and human rights, follow the business order, do our utmost to provide you with a fair and secure trading environment, and look forward to your customers coming to cooperate with us, openly mind and trade with customers, promote common development, and work together for a win-win situation.

24 / 7 guaranteed service

24 / 7 guaranteed service

The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems

Certificate of honor


CONTACT USCustomer satisfaction is our first goal!

Consultation hotline:0086-15900663312

Address:No. 3888, Hutai Road, Baoshan District, Shanghai, China

Apron type protective clothing

Train a Mask R-CNN model with the Tensorflow Object ...

Train a Mask R-CNN model with the Tensorflow Object ...

At the moment only one ,Mask,-,RCNN, model is supported with Tensorflow 2. From the Tensorflow Model Zoo. Model name Speed (ms) COCO mAP Outputs; ,Mask R-CNN, Inception ResNet V2 1024x1024: 301: 39.0/34.6: Boxes/,Masks,: The base config for the model can be found inside the configs/tf2 folder.

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GitHub - mintaka33/mask_rcnn_cpp: Mask RCNN segmentation ...

GitHub - mintaka33/mask_rcnn_cpp: Mask RCNN segmentation ...

Mask RCNN, segmentation in C++. Contribute to mintaka33/,mask,_,rcnn,_cpp development by creating an account on GitHub.

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Mask RCNN Object Segmentation — Add Your Custom Multi ...

Mask RCNN Object Segmentation — Add Your Custom Multi ...

Make AI see and understand your own objects in minutes!. “,Mask RCNN, Object Segmentation — Add Custom Multi-Classes” is published by zgle.

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Mask R-CNN

Mask R-CNN

9/5/2018, · ,Mask R-CNN, Object Detection Instance Segmentation. ,Mask R-CNN, Background Related Work Architecture Experiment. Region-based CNN (,RCNN,) Selective Search for region of interests Extracts CNN features from each region independently for classification ... ,C, is the number of kernel used Note that M and N are odd ...

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Mask R-CNN

Mask R-CNN

9/5/2018, · ,Mask R-CNN, Object Detection Instance Segmentation. ,Mask R-CNN, Background Related Work Architecture Experiment. Region-based CNN (,RCNN,) Selective Search for region of interests Extracts CNN features from each region independently for classification ... ,C, is the number of kernel used Note that M and N are odd ...

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Mask R-CNN | Building Mask R-CNN For Car Damage Detection

Mask R-CNN | Building Mask R-CNN For Car Damage Detection

Mask R-CNN, is an instance segmentation model that allows us to identify pixel wise location for our class. “Instance segmentation” means segmenting individual objects within a scene, regardless of whether they are of the same type — i.e, identifying individual cars, persons, etc. Check out the below GIF of a ,Mask,-,RCNN, model trained on the COCO dataset.

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Machine Learning with C++ - Mask R-CNN with PyTorch C++ ...

Machine Learning with C++ - Mask R-CNN with PyTorch C++ ...

Demo - ,mask,-,rcnn,_demo executable takes two parameters path to file with trained parameters and path to image file for classification. You can use pre-trained parameters from the original project (I just converted them to the format acceptable for C++ application).

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Mask R-CNN - Foundation

Mask R-CNN - Foundation

Figure 2. ,Mask R-CNN, results on the COCO test set. These results are based on ResNet-101 [15], achieving a ,mask, AP of 35.7 and running at 5 fps. ,Masks, are shown in color, and bounding box, category, and confidences are also shown. ingly minor change, RoIAlign has a large impact: it im-proves ,mask, accuracy by relative 10% to 50%, showing

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Mask R-CNN with OpenCV - PyImageSearch

Mask R-CNN with OpenCV - PyImageSearch

19/11/2018, · ,mask,_,rcnn,.py : This script will perform instance segmentation and apply a ,mask, to the image so you can see where, down to the pixel, the ,Mask R-CNN, thinks an object is. ,mask,_,rcnn,_video.py : This video processing script uses the same ,Mask R-CNN, and applies the model to …

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Mask R-CNN

Mask R-CNN

The ,mask, branch,can predict,K,,masks, per RoI, but we only use the,k,-th ,mask,,,where,k,is the predicted class by the classification branch.,The,m,×,m,floating-number ,mask, output is then resized to,the RoI size, and binarized at a threshold of 0.5.,Note that since we only compute ,masks, on the top 100,detection boxes, ,Mask R-CNN, adds a small overhead to its,Faster ,R-CNN, counterpart (,e.g ...

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