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141 lines
5.0 KiB
Markdown
141 lines
5.0 KiB
Markdown
# How to do statistics on item drop rate
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This document will show how to use `dev_tools/item_statistics.py`
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## Enable statistics in alas
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In alas GUI,
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- 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.
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- set `drop_screenshot_folder` to be the folder you want to save. It is recommended to save it in SSD.
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After few hours or few days of running, you will get a folder structure like:
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```
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<your_folder>
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campaign_7_2
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get_items
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158323xxxxxxx.png
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158323xxxxxxx.png
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158323xxxxxxx.png
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get_mission
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get_ship
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mystery
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status
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campaign_10_4_HARD
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get_items
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get_mission
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get_ship
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status
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d3
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get_items
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get_mission
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get_ship
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status
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```
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Screenshot are named after millesecond timestamp.
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## Prepare a new environment
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- Prepare another virtual environment, accoring to `requirements.txt`. But use the GPU version of `mxnet`.
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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.
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- Look for the cnocr in your virtual environment. Replace site-packages\cnocr\cn_ocr.py line 89
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```
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mod = mx.mod.Module(symbol=sym, context=mx.cpu(), data_names=data_names, label_names=None)
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```
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to be:
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```
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mod = mx.mod.Module(symbol=sym, context=mx.gpu(), data_names=data_names, label_names=None)
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```
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Now cnocr will run on GPU.
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You can skip these anyway, and use the same environment as alas, but the OCR will run really slow.
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- Install tqdm, a package to show progressbar.
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```
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pip install tqdm
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```
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## Extract item_template
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Copy folder `dev_tools\item_template` to the map folder such as `<your_folder>\campaign_7_2`.
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Change the folder in line 24
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These template are named in chinese, rename them in English.
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>**How to a name template image**
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>
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>You should use their full name, such as "138.6mm单装炮Mle1929T3", instead of short name or nickname, such as "DD_gun".
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>
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>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
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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:
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```
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1%| | 107/12668 [00:05<10:24, 20.10it/s]2020-06-03 10:39:42.609 | INFO | New item template: 50
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1%| | 158/12668 [00:07<10:42, 19.47it/s]2020-06-03 10:39:45.098 | INFO | New item template: 51
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2%|▏ | 207/12668 [00:10<10:33, 19.66it/s]2020-06-03 10:39:47.772 | INFO | New item template: 52
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2%|▏ | 215/12668 [00:10<11:20, 18.29it/s]2020-06-03 10:39:48.304 | INFO | New item template: 53
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100%|██████████| 12668/12668 [10:33<00:00, 19.99it/s]
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```
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Rename those new templates.
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If you find some items haven't been extracted, try use line 140, instead of 141.
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## Final statistic
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Uncomment the part for final statistic, configure the csv file you wang to save.
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The ocr model may not works fine in EN.
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Here's an example log:
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```
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2020-06-03 12:23:55.355 | INFO | [ENEMY_GENRE 0.007s] 中型侦查舰队
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2020-06-03 12:23:55.363 | INFO | [Amount_ocr 0.009s] [1, 1, 22]
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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
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2020-06-03 12:23:55.455 | INFO | [Amount_ocr 0.013s] [1, 1, 1, 17]
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2020-06-03 12:23:55.539 | INFO | [ENEMY_GENRE 0.007s] 敌方旗舰
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2020-06-03 12:23:55.549 | INFO | [Amount_ocr 0.010s] [1, 2, 1, 63]
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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
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2020-06-03 12:23:55.633 | INFO | [Amount_ocr 0.010s] [1, 1, 1, 17]
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100%|██████████| 14919/14919 [20:33<00:00, 12.10it/s]
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```
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Now you got a csv file, formated to be:
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```
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<get_item_timestamp>, <battle_status_timestamp>, <enemy_genre>, <item_name>, <item_amount>
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```
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like this:
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```
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1590271317900,1590271315841,中型主力舰队,主炮部件T3,1
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1590271317900,1590271315841,中型主力舰队,物资,23
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1590271359374,1590271357251,小型侦查舰队,通用部件T1,1
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1590271359374,1590271357251,小型侦查舰队,鱼雷部件T2,1
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1590271359374,1590271357251,小型侦查舰队,物资,13
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1590271415308,1590271413207,敌方旗舰,彗星,1
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1590271415308,1590271413207,敌方旗舰,通用部件T3,1
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1590271415308,1590271413207,敌方旗舰,科技箱T1,1
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1590271415308,1590271413207,敌方旗舰,物资,42
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1590271415308,1590271413207,敌方旗舰,_比萨研发物资,1
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1590271415308,1590271413207,敌方旗舰,_鸢尾之印,1
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```
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You can open it in Excel or load it into database.
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## Improvement
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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) |