Chat
Online
Inquiry
Home > Quality agreement of protective clothing

Quality agreement of 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

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

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

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

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

Certificate of Honor
Get in touch with usCustomer satisfaction is our first goal!
Email us
— We will confidentially process your data and will not pass it on to a third party.
Quality agreement of protective clothing
Object detection using Fast R-CNN - Cognitive Toolkit ...
Object detection using Fast R-CNN - Cognitive Toolkit ...

Change the dataset_cfg in the get_configuration() method of run_faster_,rcnn,.py to. from utils.configs.Pascal_config import cfg as dataset_cfg Now you're set to train on the Pascal VOC 2007 data using python run_faster_,rcnn,.py. Beware that training might take a while. Run Faster ,R-CNN, …

Beyond RetinaNet and Mask R-CNN
Beyond RetinaNet and Mask R-CNN

• Slow ,inference speed, • How to address extremely large scale variation without compromising ,inference, ... • 2 for ,R-CNN,, Faster ,RCNN, • 16 for RetinaNet, ,Mask RCNN, • Problem with small mini-batchsize • Long training time • Insufficient BN statistics • Inbalanced pos/neg ratio. Batchsize –MegDet • MegDet: A Large Mini-Batch ...

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.

Is YOLO or Mask-R-CNN easier/simpler/quicker to implement ...
Is YOLO or Mask-R-CNN easier/simpler/quicker to implement ...

YOLO vs ,R-CNN,/Fast ,R-CNN,/Faster ,R-CNN, is more of an apples to apples comparison (YOLO is an object detector, and ,Mask R-CNN, is for object detection+segmentation). YOLO is easier to implement due to its single stage architecture. Faster ,inference, times and …

Rotated Mask R-CNN: From Bounding Boxes to Rotated ...
Rotated Mask R-CNN: From Bounding Boxes to Rotated ...

Inference, python my_tools/infer_demo.py Be sure to change the input values e.g. config_file (.yaml), model_file (.pth), image_dir. Performance. Memory: Almost identical to ,Mask RCNN, (with just a few more parameters) ,Speed,: slightly slower (~10%) during ,inference,, 30-50% slower during training; Visualizing Rotated RPN Anchors

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

# define the model ,rcnn, = MaskRCNN(mode=',inference,', model_dir='./', config=TestConfig()) The next step is to load the weights that we downloaded. # load coco model weights ,rcnn,.load_weights(',mask,_,rcnn,_coco.h5', by_name=True) Now we can make a prediction for our image. First, we can load the image and convert it to a NumPy array.

inference for mask-rcnn | Kaggle
inference for mask-rcnn | Kaggle

inference, for ,mask,-,rcnn, Python notebook using data from multiple data sources · 5,577 views · 1y ago ...

Image segmentation with Mask R-CNN | by Jonathan Hui | Medium
Image segmentation with Mask R-CNN | by Jonathan Hui | Medium

Mask R-CNN,. The Faster ,R-CNN, builds all the ground works for feature extractions and ROI proposals. At first sight, performing image segmentation may require more detail analysis to colorize the image segments. By surprise, not only we can piggyback on this model, the extra work required is pretty simple.

Mask R-CNN - Practical Deep Learning Segmentation in 1 ...
Mask R-CNN - Practical Deep Learning Segmentation in 1 ...

Learn how we implemented ,Mask R-CNN, Deep Learning Object Detection Models From Training to ,Inference, - Step-by-Step When we first got started in Deep Learning particularly in Computer Vision, we were really excited at the possibilities of this technology to help people.

Mask R-CNN - IEEE Computer Society
Mask R-CNN - IEEE Computer Society

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 ...