logo
chat

Chat
Online

chat

Inquiry

chat

Email

chat
Home > The nurse was punished for wearing only underwear in his protective clothing

The nurse was punished for wearing only underwear in his 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

The nurse was punished for wearing only underwear in his protective clothing

Increasing speed of crop mask & extract raster by many ...

Increasing speed of crop mask & extract raster by many ...

Speed up, extracting raster (raster stack) from point, XY or Polygon. Great answer Luke. You must be a R wizard! Here is a very minor tweak to simplify your code (may improve performance slightly in some cases). You can avoid some operations by using cellFromPolygon (or cellFromXY for points) and then clip and getValues.

Get Price
Mask Rcnn Annotation Tool - wuow.casaccia-gradara.it

Mask Rcnn Annotation Tool - wuow.casaccia-gradara.it

TensorBoard is another great debugging and visualization tool. ,Mask,-,RCNN, implementation in MXNet. ,Mask RCNN, is an instance segmentation model that can identify pixel-by-pixel location of any object. We wanted to highlight their training data process in the event that it may help other researchers ,speed up, …

Get Price
OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO SSD and ...

OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO SSD and ...

10/2/2020, · ,Mask rcnn, segmentation:: CPU: 1.15 FPS, CUDA Enabled: 12.43 FPS. On both tests, the CUDA enabled version of SSD is slower than CPU. On jetson nano 5.5x ,speed up, in YOLO and for ,mask rcnn, 7.7x ,speed up,. On my desktop 3.5x for YOLO and 10.8x speedup for ,mask rcnn,.

Get Price
Object detection: speed and accuracy comparison (Faster R ...

Object detection: speed and accuracy comparison (Faster R ...

R-FCN applies position-sensitive score maps to ,speed up, processing while achieving similar accuracy as Faster ,R-CNN,. Source. FPN. FPN applies a pyramid of feature maps to improve accuracy. Here is the accuracy comparison with the Faster ,R-CNN,. Source. Comparing paper results. It is unwise to compare results side-by-side from different papers.

Get Price
Faster R-CNN Use Caffe Framework - Viva La Vida

Faster R-CNN Use Caffe Framework - Viva La Vida

Faster ,R-CNN, Use Caffe Framework 11 minute read Install caffe framework and run Faster ,R-CNN, demo on Ubuntu 16.04. Test environment. CPU: Intel(R) Core(TM) i3-4130 CPU @ 3.40GHz 4-Cores

Get Price
matterport ( Matterport Inc )

matterport ( Matterport Inc )

The answer to computational speed the research of Mask RCNN has mentioned that by adding segmentation part (FCN) in Faster RCNN there is little raise in computational time for detection. So, from my point of view, you should go with a faster RCNN algorithm as you don't need masking.

Get Price
keras - What exactly are the losses in Matterport Mask-R ...

keras - What exactly are the losses in Matterport Mask-R ...

mrcnn_,mask,_loss = ,mask, binary cross-entropy loss for the ,masks, head Each of these loss metrics is the sum of all the loss values calculated individually for each of the regions of interest. The general loss metric given in the log is the sum of the other five losses (you can check it by summing them ,up,) as defined by the ,Mask R-CNN,'s authors.

Get Price
Mask_rcnn

Mask_rcnn

mask,-,rcnn, (15) ,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.

Get Price
Object Detection and Segmentation in Python with Mask-RCNN

Object Detection and Segmentation in Python with Mask-RCNN

Object Detection and Segmentation in Python with ,Mask,-,RCNN,. 30.10.2020. No Comments. Full text of Improving ,speed, with segmentation in message ...

Get Price
Mask Rcnn Object Detection

Mask Rcnn Object Detection

Mask Rcnn, Object Detection

Get Price
Mask R-CNN with OpenCV - PyImageSearch

Mask R-CNN with OpenCV - PyImageSearch

19/11/2018, · From there, open ,up, the ,mask,_,rcnn,.py file and insert the following code: # import the necessary packages import numpy as np import argparse import random import time import cv2 import os First we’ll import our required packages on Lines 2-7. Notably, we’re importing NumPy and OpenCV.

Get Price
OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO SSD and ...

OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO SSD and ...

10/2/2020, · ,Mask rcnn, segmentation:: CPU: 1.15 FPS, CUDA Enabled: 12.43 FPS. On both tests, the CUDA enabled version of SSD is slower than CPU. On jetson nano 5.5x ,speed up, in YOLO and for ,mask rcnn, 7.7x ,speed up,. On my desktop 3.5x for YOLO and 10.8x speedup for ,mask rcnn,.

Get Price
Mask R-CNN with OpenCV - PyImageSearch

Mask R-CNN with OpenCV - PyImageSearch

19/11/2018, · From there, open ,up, the ,mask,_,rcnn,.py file and insert the following code: # import the necessary packages import numpy as np import argparse import random import time import cv2 import os First we’ll import our required packages on Lines 2-7. Notably, we’re importing NumPy and OpenCV.

Get Price
[2020] Mask R-CNN - Practical Deep Learning Segmentation ...

[2020] Mask R-CNN - Practical Deep Learning Segmentation ...

In this course, I show you how to use this workflow by training your own custom ,Mask RCNN, as well as how to deploy your models using PyTorch. So essentially, we’ve structured this training to reduce debugging, ,speed up, your time to market and get you results sooner. In this course, here’s some of the things that you will learn:

Get Price
Object detection using Fast R-CNN - Cognitive Toolkit ...

Object detection using Fast R-CNN - Cognitive Toolkit ...

Since then, two follow-,up, papers were published which contain significant ,speed, improvements: Fast ,R-CNN, and Faster ,R-CNN,. The basic idea of ,R-CNN, is to take a deep Neural Network which was originally trained for image classification using millions of annotated images and modify it for the purpose of object detection.

Get Price
Increasing speed of crop mask & extract raster by many ...

Increasing speed of crop mask & extract raster by many ...

Speed up, extracting raster (raster stack) from point, XY or Polygon. Great answer Luke. You must be a R wizard! Here is a very minor tweak to simplify your code (may improve performance slightly in some cases). You can avoid some operations by using cellFromPolygon (or cellFromXY for points) and then clip and getValues.

Get Price