25,$15,Studio,Large,/sauceline213904.html,cm,Equipment,25"x10"x10"/70x,Electronics , Camera Photo , Bags Cases,moussakakitchen.com,x,C,Photo,Neewer,25 $15 Neewer 25"x10"x10"/70x 25 x 25 cm Photo Studio Equipment Large C Electronics Camera Photo Bags Cases 25,$15,Studio,Large,/sauceline213904.html,cm,Equipment,25"x10"x10"/70x,Electronics , Camera Photo , Bags Cases,moussakakitchen.com,x,C,Photo,Neewer,25 Neewer 25"x10"x10" 70x 25 x cm Equipment Studio C Japan Maker New Large Photo $15 Neewer 25"x10"x10"/70x 25 x 25 cm Photo Studio Equipment Large C Electronics Camera Photo Bags Cases Neewer 25"x10"x10" 70x 25 x cm Equipment Studio C Japan Maker New Large Photo

Neewer 25

Neewer 25"x10"x10"/70x 25 x 25 cm Photo Studio Equipment Large C

$15

Neewer 25"x10"x10"/70x 25 x 25 cm Photo Studio Equipment Large C

|||

Product description

Size:25"/70cm
Note:The Bag is empty.

Description:
It has padded compartments,which keep all your gears safe while taking your photography or video studio on the go.
This will ensure your tripod or studio kit when not in use is properly protected from dirt,moisture,dust and damage.
The extra side pocket can be used for cables, batteries and other gadgets.
Designed to carry light heads,light stands,cables and accessories.
The shoulder strap makes it more convenient when you are out and on your way.
Comfortable for shoulder,easy to carry
With a classical design but never go out of style.

Specification:
Material:Cordura webbed nylon
Size:25"x10"x10"/70x25x25 cm
Color:Camouflage

Package Contents: 1 x Bag for studio kit

Neewer 25"x10"x10"/70x 25 x 25 cm Photo Studio Equipment Large C

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octocat-classifier
assets
tests
LICENSE
README.md
index.js
package.json
README.md
app.js
index.html
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              # Octocat Classifier :octopus: :cat: :mag:
              ![](https://img.shields.io/badge/build-passing-brightgreen) ![](https://img.shields.io/badge/coverage-90%25-green) ![](https://img.shields.io/badge/dependencies-up%20to%20date-brightgreen)
              As the name suggests, Octocat Classifier is used to determine whether a given image contains an Octocat. It is trained with images from the [Octodex](1), images shared with [#MyOctocat on Twitter](2), and [photographs of laptops with :octocat: stickers on them]().
              ## Installation
              ```
              git clone https://github.com/jasonetco/octocat-classifier
              ```
            
           ~/octocat-classifier gh repo create octocat-classifier
           Created repository jasonetco/octocat-classifier on GitHub
           Added remote https://github.com/jasonetco/octocat-classifier.git
           ~/octocat-classifier git push origin main
        
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••• bash
                      ~ gh pr status
                      Relevant pull requests in cli/cli
                      Current branch
                      There is no pull request associated with [main]
                      Created by you
                      You have no open pull requests
                      Requesting a code review from you
                      #1401 Correctly handle and set empty fields... 
                      [octocat:emptyBody]
                      ✓ Checks passing
                      #1357 Added confirmation steps for risk... 
                      [octocat:confirmations]
                      x 1/3 checks failing
                      ~ 
                    

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