telppa / kmcounter Goto Github PK

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Use heatmap to show mouse and keyboard usage. 使用热力图显示鼠标与键盘使用情况的工具。

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能否支持mac系统

运行源码，报：OSDTip Function library not found.

下载release，360报病毒
win7支持吗？

可以显示累计的热力图吗

建议显示累计所有天数的键盘热力图

好像只能查看当天的键盘热力图，没法查看累计所有天数的热力图，可以加个开关来显示所有天数的键盘热力图

Chrome download v3.5 failed, indicating that there is a virus

When Chrome downloads the latest KMCounter.v3.5.zip file, it prompts that it contains a virus and the download fails.
Feedback this situation to you, how to solve it.

蓝奏云链接有误

蓝奏云的下载链接回跳h网

编译成功但没完全成功

因为我的屏幕缩放是250%，参考#10，所以想自己改代码，但是在不修改代码且库文件完整的情况下，用Ahk2Exe v1.1.37.02a0 U32编译成功，得到exe后修改设置不生效（键盘布局：键宽、键高等），而且窗口无法移动，感觉是库文件未生效（或者冲突）的问题，但是编译是成功的，麻烦大佬指点一下

运行报错

有macos m3的安装吗

Some suggestions on setting panel

In the screen size column, it is recommended to add explanatory information, such as calculating the mouse movement distance.
In the function of setting the real size, add inches and screen ratio options, such as 24 inches, 16:9, this kind. (Most people may know the screen size, but don’t know the specific length and width)
Do you consider increasing the support of moving distance for multiple screens, or how to set it up.

能不能弄个柱状图横向对比每天的按键数

这样比较直观显示每天的摸鱼情况hh

Suggestions about software updates and statistical functions

You can link the project address in the software or consider adding software update functions.
Increase the real-time display function of the statistics interface.
It is recommended to add custom hidden statistics display of certain keys (such as space, carriage return, delete, etc.).（ In the statistics interface, sometimes the high frequency of individual keys affects the coloring of the statistics graph. ）
Report a bug. In the v3.2 version, when the statistics interface is always open (forgot to close), an error will be reported the next day, and the software may crash. I haven't downloaded v3.5 so I don't know if this problem still exists.

Thank you for your development, this software will definitely be sought after by enthusiasts.

在游戏内无法抓取键盘的按键统计吗

【建议】建议增加总计

建议有个输入总计，所有输入的统计结果计数更新到ini中。

键盘热力图能否显示所有历史统计数据而非某天的数据？

如题

大佬您好，第一次使用ahk，这里启动报错，能简单提示下嘛

在AutoHotkey官网下载之后，点击脚本就弹出这个来了

在高DPI配置下高分屏上显示字体过小

作为对比，标题是正常大小

关于鼠标移动距离的功能性建议

现在记录的鼠标移动距离更确切的讲似乎是光标在屏幕上移动的距离，那么是否可以增加一个设置当前鼠标dpi的选项，来达到计算鼠标（物理层面）的移动距离呢？

请问我下载的ahk源码版本，无法运行

请问我下载的ahk源码来运行的，源码的最后#Inculde 几个似乎引用不到？

请问一下这个按键记录存在什么地方的呢

还是说这个记录是每日刷新的

写了一个Python脚本,简单做一下数据分析，有需要的可以跟进自己需求调整使用

# Import required libraries
import re
from collections import defaultdict
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use("TkAgg")
import pandas as pd

# Read the file with UTF-16 encoding
with open('D:\GreenSoft\KMCounter.ini', 'r', encoding='utf-16') as file:
    file_content = file.readlines()

# Initialize a dictionary to store the data
data_dict = defaultdict(lambda: {'lbcount': 0, 'rbcount': 0, 'wheel': 0, 'move': 0, 'keystrokes': 0})

# Regular expression pattern to extract date in the format YYYYMMDD and the relevant data
pattern = re.compile(r'\[(\d{8})\]')
key_patterns = ['lbcount', 'rbcount', 'wheel', 'move', 'keystrokes']

# Extract data
current_date = None
for line in file_content:
    # if ==[total]==, then skip
    if line.strip() == '[total]':
        current_date = None
        continue
    date_match = pattern.match(line.strip())
    if date_match:
        current_date = date_match.group(1)
        current_date = f"{current_date[:4]}-{current_date[4:6]}-{current_date[6:]}"
        continue
    if current_date:
        for key in key_patterns:
            if line.startswith(key):
                value = float(line.split('=')[1].strip())
                data_dict[current_date][key] = value

# Convert the defaultdict to a normal dict
data_dict = dict(data_dict)

# Convert the data dictionary to a DataFrame
df = pd.DataFrame.from_dict(data_dict, orient='index')
df.index = pd.to_datetime(df.index)

# Filter out rows with 'total' in the index
df_filtered = df[~df.index.astype(str).str.contains('total', case=False)]

# Normalize the data for plotting
df_filtered_normalized = (df_filtered - df_filtered.min()) / (df_filtered.max() - df_filtered.min())

# Plotting
fig, ax = plt.subplots(figsize=(15, 10))
for column in df_filtered_normalized.columns:
    df_filtered_normalized[column].plot(ax=ax, marker='o', label=column)
ax.set_xlabel('Date')
ax.set_ylabel('Normalized Value')
ax.set_title('Comparison of lbcount, rbcount, wheel, move, and keystrokes Over Time')
ax.legend()
plt.tight_layout()
plt.show()

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