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Level 5 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.

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01
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.

02
Highly specialized team and products

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

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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.

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

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Level 5 protective clothing
Mask_rcnn
Mask_rcnn

Mask R,-,CNN, for Object Detection and Segmentation. This is an implementation of ,Mask R,-,CNN, on Python 3, ,Keras,, and TensorFlow. The model generates bounding boxes and segmentation ,masks, for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone. The repository includes:

使用Mask R-CNN / Keras / TensorFlow和OSM在卫星图像中查找有 …
使用Mask R-CNN / Keras / TensorFlow和OSM在卫星图像中查找有 …

Matterport, Inc has graciously released a very nice python implementation of ,Mask R,-,CNN, on github using ,Keras, and TensorFlow. This project is based on Matterport, Inc work. Why Sports Fields. Sport fields are a good fit for the ,Mask R,-,CNN, algorithm. They are visible in the satellite images regardless of the tree cover, unlike, say, buildings.

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

Train a ,Mask R,-,CNN, model with the Tensorflow Object Detection API. by Gilbert Tanner on May 04, 2020 · 7 min read In this article, you'll learn how to train a ,Mask R,-,CNN, model with the Tensorflow Object Detection API and Tensorflow 2. If you want to use Tensorflow 1 instead check out the tf1 branch of my Github repository.

[CV12] how to use Mask R-CNN for target detection in Keras
[CV12] how to use Mask R-CNN for target detection in Keras

We can use the reliable third-party implementation built by ,Keras, without developing the ,R,-,CNN, or ,Mask R,-,CNN, model from scratch. The best third-party implementation of ,Mask R,-,CNN, is Matterport Developed ,Mask R,-,CNN, Project, which is released according to MIT license open source code, has been widely used in various projects and Kaggle competitions.

Faster R-CNN step by step Part I | Notes for machine learning
Faster R-CNN step by step Part I | Notes for machine learning

Faster ,R,-,CNN, is a good point to learn ,R,-,CNN, family, before it there have ,R,-,CNN, and Fast ,R,-,CNN,, after it there have ,Mask R,-,CNN,. In this post, I will implement Faster ,R,-,CNN, step by step in ,keras,, build a trainable model, and dive into the details of all tricky part.

Optimal image sizes for Mask R-CNN Faster R-CNN using ...
Optimal image sizes for Mask R-CNN Faster R-CNN using ...

I'm still evaluating architectures, but will probably end up with ,Mask R,-,CNN, (or possibly Faster ,R,-,CNN,), using Resnet, Inception or Xception, and Tensorflow or ,Keras,. Target images to be analyzed are in the range of 1024*1024, but can be broken into smaller partitions.

Mask R-CNN: Mask R-CNN For Object Detection And Instance ...
Mask R-CNN: Mask R-CNN For Object Detection And Instance ...

Mask R-CNN for Object Detection and Segmentation. This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It’s based on Feature Pyramid Network (FPN) …

How to train Mask R-CNN on the custom dataset ...
How to train Mask R-CNN on the custom dataset ...

The Tensorflow and Keras implementation of Mask R-CNN can be found at https://github.com/matterport/Mask_RCNN, and this implementation is compatible with Tensorflow 1.x. First clone it in your project directory. 1. git clone https://github.com/matterport/Mask_RCNN.git.

How to Perform Object Detection in Photographs Using Mask ...
How to Perform Object Detection in Photographs Using Mask ...

The region-based Convolutional Neural Network family of models for object detection and the most recent variation called Mask R-CNN. The best-of-breed open source library implementation of the Mask R-CNN for the Keras deep learning library. How to use a pre-trained Mask R-CNN to perform object localization and detection on new photographs.

Mask R-CNN | ML - GeeksforGeeks
Mask R-CNN | ML - GeeksforGeeks

3/1/2020, · ,Mask R,-,CNN, architecture:,Mask R,-,CNN, was proposed by Kaiming He et al. in 2017.It is very similar to Faster ,R,-,CNN, except there is another layer to predict segmented. The stage of region proposal generation is same in both the architecture the second stage which works in parallel predict class, generate bounding box as well as outputs a binary ,mask, for each RoI.