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LmeSzinc 126309bf84 Add: dev_tools item statistics and doc

- add basic item templates

2020-06-03 13:17:46 +08:00

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How to do statistics on item drop rate

This document will show how to use dev_tools/item_statistics.py

Enable statistics in alas

In alas GUI,

set enable_drop_screenshot to yes, if enabled, alas will add a 1s sleep before screenshot, to avoid capture the flash. There's a flash light when item shows up.
set drop_screenshot_folder to be the folder you want to save. It is recommended to save it in SSD.

After few hours or few days of running, you will get a folder structure like:

<your_folder>
    campaign_7_2
        get_items
            158323xxxxxxx.png
            158323xxxxxxx.png
            158323xxxxxxx.png
        get_mission
        get_ship
        mystery
        status
    campaign_10_4_HARD
        get_items
        get_mission
        get_ship
        status
    d3
        get_items
        get_mission
        get_ship
        status

Screenshot are named after millesecond timestamp.

Prepare a new environment

Prepare another virtual environment, accoring to requirements.txt. But use the GPU version of mxnet.

I am using GTX1080Ti, and I installed mxnet-cu80==1.4.1, CUDA8.0, cuDNN. Google mxnet gpu install, and see how to do in details. You may intall other version of CUDA, and mxnet for that CUDA, because you are using another graphic card.
Look for the cnocr in your virtual environment. Replace site-packages\cnocr\cn_ocr.py line 89

mod = mx.mod.Module(symbol=sym, context=mx.cpu(), data_names=data_names, label_names=None)

to be:

mod = mx.mod.Module(symbol=sym, context=mx.gpu(), data_names=data_names, label_names=None)

Now cnocr will run on GPU.

You can skip these anyway, and use the same environment as alas, but the OCR will run really slow.

Install tqdm, a package to show progressbar.

pip install tqdm

Extract item_template

Copy folder dev_tools\item_template to the map folder such as <your_folder>\campaign_7_2.

Change the folder in line 24

These template are named in chinese, rename them in English.

How to a name template image

You should use their full name, such as "138.6mm单装炮Mle1929T3", instead of short name or nickname, such as "DD_gun".

If you have same item with different image, use names like torpedo_part.png, torpedo_part_2.png, they will a classified as torpedo_part

Uncomment the part for item extract in dev_tools/item_statistics.py, and run, you will have some new item templates. Here's an example log:

  1%|          | 107/12668 [00:05<10:24, 20.10it/s]2020-06-03 10:39:42.609 | INFO | New item template: 50
  1%|          | 158/12668 [00:07<10:42, 19.47it/s]2020-06-03 10:39:45.098 | INFO | New item template: 51
  2%|▏         | 207/12668 [00:10<10:33, 19.66it/s]2020-06-03 10:39:47.772 | INFO | New item template: 52
  2%|▏         | 215/12668 [00:10<11:20, 18.29it/s]2020-06-03 10:39:48.304 | INFO | New item template: 53
100%|██████████| 12668/12668 [10:33<00:00, 19.99it/s]

Rename those new templates.

If you find some items haven't been extracted, try use line 140, instead of 141.

Final statistic

Uncomment the part for final statistic, configure the csv file you wang to save.

The ocr model may not works fine in EN.

Here's an example log:

2020-06-03 12:23:55.355 | INFO | [ENEMY_GENRE 0.007s] 中型侦查舰队
2020-06-03 12:23:55.363 | INFO | [Amount_ocr 0.009s] [1, 1, 22]
100%|█████████▉| 14916/14919 [20:32<00:00, 13.20it/s]2020-06-03 12:23:55.442 | INFO | [ENEMY_GENRE 0.007s] 大型航空舰队
2020-06-03 12:23:55.455 | INFO | [Amount_ocr 0.013s] [1, 1, 1, 17]
2020-06-03 12:23:55.539 | INFO | [ENEMY_GENRE 0.007s] 敌方旗舰
2020-06-03 12:23:55.549 | INFO | [Amount_ocr 0.010s] [1, 2, 1, 63]
100%|█████████▉| 14918/14919 [20:33<00:00, 12.35it/s]2020-06-03 12:23:55.623 | INFO | [ENEMY_GENRE 0.007s] 精英舰队
2020-06-03 12:23:55.633 | INFO | [Amount_ocr 0.010s] [1, 1, 1, 17]
100%|██████████| 14919/14919 [20:33<00:00, 12.10it/s]

Now you got a csv file, formated to be:

<get_item_timestamp>, <battle_status_timestamp>, <enemy_genre>, <item_name>, <item_amount>

like this:

1590271317900,1590271315841,中型主力舰队,主炮部件T3,1
1590271317900,1590271315841,中型主力舰队,物资,23
1590271359374,1590271357251,小型侦查舰队,通用部件T1,1
1590271359374,1590271357251,小型侦查舰队,鱼雷部件T2,1
1590271359374,1590271357251,小型侦查舰队,物资,13
1590271415308,1590271413207,敌方旗舰,彗星,1
1590271415308,1590271413207,敌方旗舰,通用部件T3,1
1590271415308,1590271413207,敌方旗舰,科技箱T1,1
1590271415308,1590271413207,敌方旗舰,物资,42
1590271415308,1590271413207,敌方旗舰,_比萨研发物资,1
1590271415308,1590271413207,敌方旗舰,_鸢尾之印,1

You can open it in Excel or load it into database.

Improvement

These code is running on single thread, you can try adding multiprocess to speed up. I didn't do that because it's still acceptable (20it/s without ocr, 12it/s with ocr)

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