Directions for Windows

Screenshots

• You will only be able to use this OCR file with screenshots of each piece of gear you want in the optimizer. The screenshots must be taken in an emulator because the device resolution must be 2200x1080 in order for the script to work (and most phones are not this resolution). Nox and LDPlayer support this resolution and take compatible screenshots. We recently discovered that MuMu does not take screenshots compatible with this script. Sorry for the inconvenience.

• When taking a screenshot be sure to tap on each piece of gear to bring up its stats before screenshotting. Do not hold down your finger on each one, as the placement of the item box is different between tapping and holding.

Python Setup

1. Download and install the 64 bit Anaconda python 3.x distribution for windows: https://www.anaconda.com/products/individual

2. Download and Install the 64 bit Tesseract-OCR: https://github.com/UB-Mannheim/tesseract/wiki

   You should install it to the default directory unless you have a good reason not to.

3. The Anaconda python distribution will have installed a launcher named Anaconda Navigator. Run it, then launch Powershell Prompt from the tile menu. Copy and paste the two lines below into the prompt, in succession, hitting enter after each.

   pip install pytesseract

   pip install opencv-python

   You should see "Successfully installed [package name]" after each. Close the prompt when done.

Download and Test the Script

4. Download the files in this repository. To do this, scroll up to the top of this webpage and click the green Code button, then click Download ZIP. Extract the folder somewhere (I extracted it to the Downloads folder since that was where the ZIP file already was).

5. Return to Anaconda Navigator. Launch JupyterLab from the tile menu. This will open a browser window. Once it is loaded, look at the sidebar on the left. Navigate to where you extracted the folder (in my case: Downloads/epic7-master). Double click on E7 Gear OCR.ipynb. This will open the code for the OCR script.

6. Let's do a test run! In the menu at the top, click Run > Run All Cells. If you scroll down to the bottom of the window, you'll see a text progress indicator. When you see JSON file finished! you should see a new file in the sidebar: exported_gear.json. Double click that. If next to items: [] it says 1 item then the test run worked correctly.

   Note: If you are not using windows, you will need to comment two lines in the settings cell at the top. Otherwise the test run will fail.

Copy Screenshots & Run

7. Delete the sample image in the screenshots folder (epic7-master/screenshots) that we just tested the script on.

8. Copy your 2200x1080 gear screenshots to epic7-master/screenshots from wherever you have them stored.

9. Go back to the JupyterLab browser tab and do Run > Run All Cells again. This will overwrite exported_gear.json with one that has all your gear in it. Congratulations! You're done with this script.

Optimizer

• Make sure you have the latest version of the optimizer here: https://github.com/Zarroc2762/E7-Gear-Optimizer/releases.

• After launching the optimizer, select Import JSON from web optimizer (/u/HyrTheWinter). Then click the Import button and browse to the folder that exported_gear.json is in and load it. You should see green text at the bottom saying Succesfully imported 0 heroes and X items... where x is the number of screenshots you took. Congratulations! You've imported your gear into the optimizer.

Sanity Checks

• I highly recommend doing some quick sanity checks of the imported gear to ensure the script didnt make any mistakes. The most common error with this OCR library is adding a '7' to the end of the recognized number. So a spd sub of 10 could be recorded as 107. Go to the inventory tab in the optimizer and click each stat column heading to sort the values. Just make sure that none of the highest values are crazy. If they are, just delete the 7 at the end. Congratulations! You're ready to start optimizing your gear.

Using in the Future

1. In the future when you want to refresh your gear, you should first check this github again to see if I updated E7 Gear OCR.ipynb. If I did, download it and replace your old copy.

2. Then all you need to do is to copy your new screenshots into the screenshots folder, open E7 Gear OCR.ipynb in JupyterLab (via Anaconda Navigator), then Run > Run All Cells. This will give you your new json file.

3. Finally, when you go to import your new json into the optimizer you have a choice:

   • If you don't want to keep the heroes you previously added to the optimizer, then just import the json as above.

   • If you do want to keep your heroes, I suggest that you first delete all the items in the optimizer (go to the Inventory tab, highlight all the items, click the - button). Then on the General tab click the Append button (instead of Import) and load your new json. This will add your up to date gear into the optimizer while keeping your heroes.

Korean Screenshot Support

• If you want to use this script with korean screenshots, you need to configure your installation of tesseract to install the Hangul & Hangul vertical script components. See the screenshot below:

• Next, you need to use E7 Gear OCR Kor.ipynb instead of E7 Gear OCR.ipynb. Otherwise, everything else should be the same. Thanks to @bangin20 for adding Korean language support.