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https://github.com/ravizhan/geetest-v3-click-crack.git
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初次提交
This commit is contained in:
ravizhan
60
README.md
60
README.md
@@ -1,2 +1,62 @@
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# geetest-v3-click-crack
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极验三代文字点选验证码破解
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**本项目仅供学习交流使用，请勿用于商业用途，否则后果自负。**
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**本项目仅供学习交流使用，请勿用于商业用途，否则后果自负。**
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**本项目仅供学习交流使用，请勿用于商业用途，否则后果自负。**
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# 使用方法
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安装相关依赖
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```commandline
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pip install -r requirements.txt
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```
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运行
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```commandline
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python main.py
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```
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# DEMO
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``` python
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# 实例化两个类
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crack = Crack(gt, challenge)
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model = Model()
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# 按顺序执行以下四个函数
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crack.gettype()
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crack.get_c_s()
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crack.ajax()
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pic_content = crack.get_pic()
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# 检测文字位置
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small_img, big_img = model.detect(pic_content)
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# 判断点选顺序
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result_list = model.siamese(small_img, big_img)
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point_list = []
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for i in result_list:
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left = str(round((i[0] + 30) / 333 * 10000))
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top = str(round((i[1] + 30) / 333 * 10000))
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point_list.append(f"{left}_{top}")
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# 验证请求
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# 注意 请求此函数时请确保全过程时间大于等于4s
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# 否则会报 duration short
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result = crack.verify(point_list)
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print(result)
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```
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# 协议
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本项目遵循 AGPL-3.0 协议开源，请遵守相关协议。
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# 鸣谢
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[ultralytics](https://github.com/ultralytics/ultralytics/) 提供目标检测模型
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[Siamese-pytorch](https://github.com/bubbliiiing/Siamese-pytorch) 提供孪生网络模型
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[biliTicker_gt](https://github.com/Amorter/biliTicker_gt) 提供部分思路
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[https://www.52pojie.cn/thread-1909489-1-1.html](https://www.52pojie.cn/thread-1909489-1-1.html) 提供部分思路
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ChatGPT 提供逆向支持
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483
crack.py
Normal file
483
crack.py
Normal file
@@ -0,0 +1,483 @@
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import hashlib
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import json
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import math
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import random
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import time
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import httpx
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from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
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from cryptography.hazmat.primitives import padding, serialization
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from cryptography.hazmat.primitives.asymmetric.padding import PKCS1v15
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class Crack:
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def __init__(self, gt=None, challenge=None):
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self.pic_path = None
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self.s = None
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self.c = None
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self.session = httpx.Client(http2=True)
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self.session.headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36"
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}
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# self.session.verify = False
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self.gt = gt
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self.challenge = challenge
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self.aeskey = ''.join(f'{int((1 + random.random()) * 65536):04x}'[1:] for _ in range(4))
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public_key = '''-----BEGIN PUBLIC KEY-----
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MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDB45NNFhRGWzMFPn9I7k7IexS5
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XviJR3E9Je7L/350x5d9AtwdlFH3ndXRwQwprLaptNb7fQoCebZxnhdyVl8Jr2J3
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FZGSIa75GJnK4IwNaG10iyCjYDviMYymvCtZcGWSqSGdC/Bcn2UCOiHSMwgHJSrg
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Bm1Zzu+l8nSOqAurgQIDAQAB
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-----END PUBLIC KEY-----'''
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self.public_key = serialization.load_pem_public_key(public_key.encode())
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self.enc_key = self.public_key.encrypt(self.aeskey.encode(), PKCS1v15()).hex()
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with open("mousepath.json", "r") as f:
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self.mouse_path = json.loads(f.read())
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def get_type(self) -> dict:
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url = f"https://api.geetest.com/gettype.php?gt={self.gt}"
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res = self.session.get(url)
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return json.loads(res.text[1:-1])["data"]
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@staticmethod
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def encode(input_bytes: list):
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def get_char_from_index(index):
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char_table = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789()"
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return char_table[index] if 0 <= index < len(char_table) else "."
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def transform_value(value, bit_mask):
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result = 0
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for r in range(23, -1, -1):
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if (bit_mask >> r) & 1:
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result = (result << 1) + ((value >> r) & 1)
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return result
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encoded_string = ""
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padding = ""
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input_length = len(input_bytes)
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for i in range(0, input_length, 3):
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chunk_length = min(3, input_length - i)
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chunk = input_bytes[i:i + chunk_length]
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if chunk_length == 3:
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value = (chunk[0] << 16) + (chunk[1] << 8) + chunk[2]
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encoded_string += get_char_from_index(transform_value(value, 7274496)) + get_char_from_index(
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transform_value(value, 9483264)) + get_char_from_index(
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transform_value(value, 19220)) + get_char_from_index(transform_value(value, 235))
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elif chunk_length == 2:
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value = (chunk[0] << 16) + (chunk[1] << 8)
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encoded_string += get_char_from_index(transform_value(value, 7274496)) + get_char_from_index(
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transform_value(value, 9483264)) + get_char_from_index(transform_value(value, 19220))
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padding = "."
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elif chunk_length == 1:
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value = chunk[0] << 16
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encoded_string += get_char_from_index(transform_value(value, 7274496)) + get_char_from_index(
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transform_value(value, 9483264))
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padding = ".."
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return encoded_string + padding
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@staticmethod
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def MD5(text: str):
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return hashlib.md5(text.encode()).hexdigest()
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@staticmethod
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def encode_mouse_path(path: list, c: list, s: str):
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def preprocess(path: list):
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def BFIQ(e):
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t = 32767
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if not isinstance(e, int):
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return e
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else:
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if t < e:
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e = t
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elif e < -t:
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e = -t
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return round(e)
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def BGAB(e):
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t = ''
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n = 0
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len(e or [])
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while n < len(e) and not t:
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if e[n]:
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t = e[n][4]
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n += 1
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if not t:
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return e
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r = ''
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i = ['mouse', 'touch', 'pointer', 'MSPointer']
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for s in range(len(i)):
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if t.startswith(i[s]):
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r = i[s]
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_ = list(e)
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for a in range(len(_) - 1, -1, -1):
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c = _[a]
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l = c[0]
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if l in ['move', 'down', 'up']:
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value = c[4] or ''
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if not value.startswith(r):
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_.pop(a)
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return _
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t = 0
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n = 0
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r = []
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s = 0
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if len(path) <= 0:
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return []
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o = None
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_ = None
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a = BGAB(path)
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c = len(a)
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for l in range(0 if c < 300 else c - 300, c):
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u = a[l]
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h = u[0]
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if h in ['down', 'move', 'up', 'scroll']:
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if not o:
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o = u
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_ = u
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r.append([h, [u[1] - t, u[2] - n], BFIQ(u[3] - s if s else s)])
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t = u[1]
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n = u[2]
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s = u[3]
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elif h in ['blur', 'focus', 'unload']:
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r.append([h, BFIQ(u[1] - s if s else s)])
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s = u[1]
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return r
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def process(prepared_path: list):
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h = {
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'move': 0,
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'down': 1,
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'up': 2,
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'scroll': 3,
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'focus': 4,
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'blur': 5,
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'unload': 6,
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'unknown': 7
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}
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def p(e, t):
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n = bin(e)[2:]
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r = ''
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i = len(n) + 1
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while i <= t:
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i += 1
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r += '0'
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return r + n
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def d(e):
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t = []
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n = len(e)
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r = 0
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while r < n:
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i = e[r]
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s = 0
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while True:
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if s >= 16:
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break
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o = r + s + 1
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if o >= n:
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break
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if e[o] != i:
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break
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s += 1
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r += 1 + s
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_ = h[i]
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if s != 0:
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t.append(_ | 8)
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t.append(s - 1)
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else:
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t.append(_)
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a = p(n | 32768, 16)
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c = ''
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for l in range(len(t)):
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c += p(t[l], 4)
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return a + c
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def g(e, tt):
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def temp1(e1):
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n = len(e)
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r = 0
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i = []
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while r < n:
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s = 1
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o = e[r]
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_ = abs(o)
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while True:
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if n <= r + s:
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break
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if e[r + s] != o:
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break
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if (_ >= 127) or (s >= 127):
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break
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s += 1
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if s > 1:
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i.append((49152 if o < 0 else 32768) | s << 7 | _)
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else:
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i.append(o)
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r += s
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return i
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e = temp1(e)
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r = []
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i = []
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def n(e, t):
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return 0 if e == 0 else math.log(e) / math.log(t)
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for temp in e:
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t = math.ceil(n(abs(temp) + 1, 16))
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if t == 0:
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t = 1
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r.append(p(t - 1, 2))
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i.append(p(abs(temp), t * 4))
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s = ''.join(r)
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o = ''.join(i)
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def temp2(t):
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return t != 0 and t >> 15 != 1
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def temp3(e1):
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n = []
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def temp(e2):
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if temp2(e2):
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n.append(e2)
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for r in range(len(e1)):
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temp(e1[r])
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return n
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def temp4(t):
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if t < 0:
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return '1'
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else:
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return '0'
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if tt:
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n = []
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e1 = temp3(e)
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for r in range(len(e1)):
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n.append(temp4(e1[r]))
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n = ''.join(n)
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else:
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n = ''
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return p(len(e) | 32768, 16) + s + o + n
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def u(e):
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t = ''
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n = len(e) // 6
|
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for r in range(n):
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t += '()*,-./0123456789:?@ABCDEFGHIJKLMNOPQRSTUVWXYZ_abcdefghijklmnopqrstuvwxyz~'[
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int(e[6 * r: 6 * (r + 1)], 2)]
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return t
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t = []
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n = []
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r = []
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i = []
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for a in range(len(prepared_path)):
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_ = prepared_path[a]
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a = len(_)
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t.append(_[0])
|
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n.append(_[1] if a == 2 else _[2])
|
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if a == 3:
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r.append(_[1][0])
|
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i.append(_[1][1])
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c = d(t) + g(n, False) + g(r, True) + g(i, True)
|
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l = len(c)
|
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if l % 6 != 0:
|
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c += p(0, 6 - l % 6)
|
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return u(c)
|
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def postprocess(e, t, n):
|
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i = 0
|
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s = e
|
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o = t[0]
|
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_ = t[2]
|
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a = t[4]
|
||||
while True:
|
||||
r = n[i:i + 2]
|
||||
if not r:
|
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break
|
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i += 2
|
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c = int(r, 16)
|
||||
l = chr(c)
|
||||
u = (o * c * c + _ * c + a) % len(e)
|
||||
s = s[:u] + l + s[u:]
|
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return s
|
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|
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return postprocess(process(preprocess(path)), c, s)
|
||||
|
||||
def aes_encrypt(self, content: str):
|
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cipher = Cipher(algorithms.AES(self.aeskey.encode()), modes.CBC(b"0000000000000000"))
|
||||
encryptor = cipher.encryptor()
|
||||
padder = padding.PKCS7(128).padder()
|
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padded_data = padder.update(content.encode())
|
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padded_data += padder.finalize()
|
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ct = encryptor.update(padded_data) + encryptor.finalize()
|
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return ct
|
||||
|
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def get_c_s(self):
|
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o = {
|
||||
"gt": self.gt,
|
||||
"challenge": self.challenge,
|
||||
"offline": False,
|
||||
"new_captcha": True,
|
||||
"product": "embed",
|
||||
"width": "300px",
|
||||
"https": True,
|
||||
"protocol": "https://",
|
||||
}
|
||||
o.update(self.get_type())
|
||||
o.update({
|
||||
"cc": 16,
|
||||
"ww": True,
|
||||
"i": "-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1"
|
||||
})
|
||||
o = json.dumps(o, separators=(',', ':'))
|
||||
# print(o)
|
||||
ct = self.aes_encrypt(o)
|
||||
s = []
|
||||
for byte in ct:
|
||||
s.append(byte)
|
||||
i = self.encode(s)
|
||||
r = self.enc_key
|
||||
w = i + r
|
||||
params = {
|
||||
"gt": self.gt,
|
||||
"challenge": self.challenge,
|
||||
"lang": "zh-cn",
|
||||
"pt": 0,
|
||||
"client_type": "web",
|
||||
"callback": "geetest_" + str(int(round(time.time() * 1000))),
|
||||
"w": w
|
||||
}
|
||||
resp = self.session.get("https://api.geetest.com/get.php", params=params).text
|
||||
# print(resp)
|
||||
data = json.loads(resp[22:-1])["data"]
|
||||
self.c = data["c"]
|
||||
self.s = data["s"]
|
||||
return data["c"], data["s"]
|
||||
|
||||
def gettype(self):
|
||||
url = f"https://api.geetest.com/gettype.php?gt={self.gt}&callback=geetest_{str(int(round(time.time() * 1000)))}"
|
||||
return self.session.get(url).text
|
||||
|
||||
def ajax(self):
|
||||
def transform(e, t, n):
|
||||
if not t or not n:
|
||||
return e
|
||||
o = 0
|
||||
i = list(e)
|
||||
s = t[0]
|
||||
a = t[2]
|
||||
b = t[4]
|
||||
while o < len(n):
|
||||
r = n[o:o + 2]
|
||||
o += 2
|
||||
c = int(r, 16)
|
||||
l = chr(c)
|
||||
u = (s * c * c + a * c + b) % len(i)
|
||||
i.insert(u, l)
|
||||
return ''.join(i)
|
||||
|
||||
mouse_path = [
|
||||
["move", 385, 313, 1724572150164, "pointermove"],
|
||||
["move", 385, 315, 1724572150166, "pointermove"],
|
||||
["move", 386, 315, 1724572150174, "pointermove"],
|
||||
["move", 387, 315, 1724572150182, "pointermove"],
|
||||
["move", 387, 316, 1724572150188, "pointermove"],
|
||||
["move", 388, 316, 1724572150204, "pointermove"],
|
||||
["move", 388, 317, 1724572150218, "pointermove"],
|
||||
["down", 388, 317, 1724572150586, "pointerdown"],
|
||||
["focus", 1724572150587],
|
||||
["up", 388, 317, 1724572150632, "pointerup"]
|
||||
]
|
||||
tt = transform(self.encode_mouse_path(mouse_path, self.c, self.s), self.c, self.s)
|
||||
rp = self.MD5(self.gt + self.challenge + self.s)
|
||||
temp1 = '''"lang":"zh-cn","type":"fullpage","tt":"%s","light":"DIV_0","s":"c7c3e21112fe4f741921cb3e4ff9f7cb","h":"321f9af1e098233dbd03f250fd2b5e21","hh":"39bd9cad9e425c3a8f51610fd506e3b3","hi":"09eb21b3ae9542a9bc1e8b63b3d9a467","vip_order":-1,"ct":-1,"ep":{"v":"9.1.9-dbjg5z","te":false,"me":true,"ven":"Google Inc. (Intel)","ren":"ANGLE (Intel, Intel(R) Iris(R) Xe Graphics (0x0000A7A0) Direct3D11 vs_5_0 ps_5_0, D3D11)","fp":["scroll",0,1602,1724571628498,null],"lp":["up",386,217,1724571629854,"pointerup"],"em":{"ph":0,"cp":0,"ek":"11","wd":1,"nt":0,"si":0,"sc":0},"tm":{"a":1724571567311,"b":1724571567549,"c":1724571567562,"d":0,"e":0,"f":1724571567312,"g":1724571567312,"h":1724571567312,"i":1724571567317,"j":1724571567423,"k":1724571567330,"l":1724571567423,"m":1724571567545,"n":1724571567547,"o":1724571567569,"p":1724571568259,"q":1724571568259,"r":1724571568261,"s":1724571570378,"t":1724571570378,"u":1724571570380},"dnf":"dnf","by":0},"passtime":1600,"rp":"%s",''' % (
|
||||
tt, rp)
|
||||
r = "{" + temp1 + '"captcha_token":"1198034057","du6o":"eyjf7nne"}'
|
||||
# print(r)
|
||||
ct = self.aes_encrypt(r)
|
||||
s = [byte for byte in ct]
|
||||
w = self.encode(s)
|
||||
params = {
|
||||
"gt": self.gt,
|
||||
"challenge": self.challenge,
|
||||
"lang": "zh-cn",
|
||||
"pt": 0,
|
||||
"client_type": "web",
|
||||
"callback": "geetest_" + str(int(round(time.time() * 1000))),
|
||||
"w": w
|
||||
}
|
||||
resp = self.session.get("https://api.geetest.com/ajax.php", params=params).text
|
||||
return json.loads(resp[22:-1])["data"]
|
||||
|
||||
def get_pic(self):
|
||||
params = {
|
||||
"is_next": "true",
|
||||
"type": "click",
|
||||
"gt": self.gt,
|
||||
"challenge": self.challenge,
|
||||
"lang": "zh-cn",
|
||||
"https": "true",
|
||||
"protocol": "https://",
|
||||
"offline": "false",
|
||||
"product": "float",
|
||||
"api_server": "api.geevisit.com",
|
||||
"isPC": True,
|
||||
"autoReset": True,
|
||||
"width": "100%",
|
||||
"callback": "geetest_" + str(int(round(time.time() * 1000))),
|
||||
}
|
||||
resp = self.session.get("https://api.geevisit.com/get.php", params=params).text
|
||||
data = json.loads(resp[22:-1])["data"]
|
||||
self.pic_path = data["pic"]
|
||||
pic_url = "https://" + data["resource_servers"][0][:-1] + data["pic"]
|
||||
return self.session.get(pic_url).content
|
||||
|
||||
def verify(self, points: list):
|
||||
u = self.enc_key
|
||||
o = {
|
||||
"lang": "zh-cn",
|
||||
"passtime": 1600,
|
||||
"a": ",".join(points),
|
||||
"pic": self.pic_path,
|
||||
"tt": self.encode_mouse_path(self.mouse_path, self.c, self.s),
|
||||
"ep": {
|
||||
"ca": [{"x": 524, "y": 209, "t": 0, "dt": 1819}, {"x": 558, "y": 299, "t": 0, "dt": 428},
|
||||
{"x": 563, "y": 95, "t": 0, "dt": 952}, {"x": 670, "y": 407, "t": 3, "dt": 892}],
|
||||
"v": '3.1.0',
|
||||
"$_FB": False,
|
||||
"me": True,
|
||||
"tm": {"a": 1724585496403, "b": 1724585496605, "c": 1724585496613, "d": 0, "e": 0, "f": 1724585496404,
|
||||
"g": 1724585496404, "h": 1724585496404, "i": 1724585496404, "j": 1724585496404, "k": 0,
|
||||
"l": 1724585496413, "m": 1724585496601, "n": 1724585496603, "o": 1724585496618,
|
||||
"p": 1724585496749, "q": 1724585496749, "r": 1724585496751, "s": 1724585498068,
|
||||
"t": 1724585498068, "u": 1724585498069}
|
||||
},
|
||||
"h9s9": "1816378497",
|
||||
}
|
||||
o["rp"] = self.MD5(self.gt + self.challenge + str(o["passtime"]))
|
||||
o = json.dumps(o, separators=(',', ':'))
|
||||
# print(o)
|
||||
ct = self.aes_encrypt(o)
|
||||
s = []
|
||||
for byte in ct:
|
||||
s.append(byte)
|
||||
p = self.encode(s)
|
||||
w = p + u
|
||||
params = {
|
||||
"gt": self.gt,
|
||||
"challenge": self.challenge,
|
||||
"lang": "zh-cn",
|
||||
"pt": 0,
|
||||
"client_type": "web",
|
||||
"w": w
|
||||
}
|
||||
resp = self.session.get("https://api.geevisit.com/ajax.php", params=params).text
|
||||
return resp[1:-1]
|
||||
56
main.py
Normal file
56
main.py
Normal file
@@ -0,0 +1,56 @@
|
||||
import json
|
||||
import time
|
||||
from crack import Crack
|
||||
from model import Model
|
||||
import httpx
|
||||
|
||||
|
||||
t = time.time()
|
||||
|
||||
tt = time.time()
|
||||
reg = httpx.get(f"https://www.geetest.com/demo/gt/register-click-official?t={str(round(time.time()))}").json()
|
||||
print(time.time() - tt)
|
||||
|
||||
crack = Crack(reg["gt"], reg["challenge"])
|
||||
|
||||
tt = time.time()
|
||||
crack.gettype()
|
||||
print(time.time() - tt)
|
||||
|
||||
tt = time.time()
|
||||
crack.get_c_s()
|
||||
print(time.time() - tt)
|
||||
|
||||
time.sleep(0.5)
|
||||
|
||||
tt = time.time()
|
||||
crack.ajax()
|
||||
print(time.time() - tt)
|
||||
|
||||
model = Model()
|
||||
|
||||
tt = time.time()
|
||||
pic_content = crack.get_pic()
|
||||
print(time.time() - tt)
|
||||
|
||||
tt = time.time()
|
||||
small_img, big_img = model.detect(pic_content)
|
||||
print(f"检测到小图: {len(small_img.keys())}个,大图: {len(big_img)} 个,用时: {time.time() - tt}s")
|
||||
tt = time.time()
|
||||
result_list = model.siamese(small_img, big_img)
|
||||
print(f"文字配对完成,用时: {time.time() - tt}")
|
||||
point_list = []
|
||||
# print(result_list)
|
||||
for i in result_list:
|
||||
left = str(round((i[0] + 30) / 333 * 10000))
|
||||
top = str(round((i[1] + 30) / 333 * 10000))
|
||||
point_list.append(f"{left}_{top}")
|
||||
wait_time = 4.0 - (time.time() - t)
|
||||
time.sleep(wait_time)
|
||||
tt = time.time()
|
||||
result = json.loads(crack.verify(point_list))
|
||||
print(result)
|
||||
print(time.time() - tt)
|
||||
total_time = time.time() - t
|
||||
print(f"总计耗时(含等待{wait_time}s): {total_time}")
|
||||
|
||||
93
model.py
Normal file
93
model.py
Normal file
@@ -0,0 +1,93 @@
|
||||
import onnxruntime
|
||||
import cv2
|
||||
import numpy as np
|
||||
import time
|
||||
|
||||
|
||||
class Model:
|
||||
def __init__(self):
|
||||
self.img = None
|
||||
self.yolo = onnxruntime.InferenceSession("yolov8s.onnx")
|
||||
# tt = time.time()
|
||||
self.Siamese = onnxruntime.InferenceSession("siamese.onnx")
|
||||
# print(time.time() - tt)
|
||||
self.classes = ["big", "small"]
|
||||
self.color_palette = np.random.uniform(0, 255, size=(len(self.classes), 3))
|
||||
|
||||
def detect(self, img: bytes):
|
||||
confidence_thres = 0.8
|
||||
iou_thres = 0.8
|
||||
model_inputs = self.yolo.get_inputs()
|
||||
input_shape = model_inputs[0].shape
|
||||
input_width = input_shape[2]
|
||||
input_height = input_shape[3]
|
||||
self.img = cv2.imdecode(np.frombuffer(img, np.uint8), cv2.IMREAD_ANYCOLOR)
|
||||
img_height, img_width = self.img.shape[:2]
|
||||
img = cv2.cvtColor(self.img, cv2.COLOR_BGR2RGB)
|
||||
img = cv2.resize(img, (input_height, input_width))
|
||||
image_data = np.array(img) / 255.0
|
||||
image_data = np.transpose(image_data, (2, 0, 1))
|
||||
image_data = np.expand_dims(image_data, axis=0).astype(np.float32)
|
||||
input = {model_inputs[0].name: image_data}
|
||||
output = self.yolo.run(None, input)
|
||||
outputs = np.transpose(np.squeeze(output[0]))
|
||||
rows = outputs.shape[0]
|
||||
boxes, scores, class_ids = [], [], []
|
||||
x_factor = img_width / input_width
|
||||
y_factor = img_height / input_height
|
||||
for i in range(rows):
|
||||
classes_scores = outputs[i][4:]
|
||||
max_score = np.amax(classes_scores)
|
||||
if max_score >= confidence_thres:
|
||||
class_id = np.argmax(classes_scores)
|
||||
x, y, w, h = outputs[i][0], outputs[i][1], outputs[i][2], outputs[i][3]
|
||||
left = int((x - w / 2) * x_factor)
|
||||
top = int((y - h / 2) * y_factor)
|
||||
width = int(w * x_factor)
|
||||
height = int(h * y_factor)
|
||||
class_ids.append(class_id)
|
||||
scores.append(max_score)
|
||||
boxes.append([left, top, width, height])
|
||||
indices = cv2.dnn.NMSBoxes(boxes, scores, confidence_thres, iou_thres)
|
||||
new_boxes = [boxes[i] for i in indices]
|
||||
small_imgs, big_img_boxes = {}, []
|
||||
for i in new_boxes:
|
||||
cropped = self.img[i[1]: i[1] + i[3], i[0]: i[0] + i[2]]
|
||||
if cropped.shape[0] < 35 and cropped.shape[1] < 35:
|
||||
small_imgs[i[0]] = cropped
|
||||
else:
|
||||
big_img_boxes.append(i)
|
||||
return small_imgs, big_img_boxes
|
||||
|
||||
@staticmethod
|
||||
def preprocess_image(img, size=(105, 105)):
|
||||
img_resized = cv2.resize(img, size)
|
||||
img_normalized = np.array(img_resized) / 255.0
|
||||
img_transposed = np.transpose(img_normalized, (2, 0, 1))
|
||||
img_expanded = np.expand_dims(img_transposed, axis=0).astype(np.float32)
|
||||
return img_expanded
|
||||
|
||||
def siamese(self, small_imgs, big_img_boxes):
|
||||
preprocessed_small_imgs = {i: self.preprocess_image(small_imgs[i]) for i in sorted(small_imgs)}
|
||||
result_list = []
|
||||
for i in sorted(preprocessed_small_imgs):
|
||||
image_data_1 = preprocessed_small_imgs[i]
|
||||
for box in big_img_boxes:
|
||||
if [box[0], box[1]] in result_list:
|
||||
continue
|
||||
cropped = self.img[box[1]: box[1] + box[3], box[0]: box[0] + box[2]]
|
||||
image_data_2 = self.preprocess_image(cropped)
|
||||
inputs = {'input': image_data_1, "input.53": image_data_2}
|
||||
# tt = time.time()
|
||||
output = self.Siamese.run(None, inputs)
|
||||
# print(time.time() - tt)
|
||||
output_sigmoid = 1 / (1 + np.exp(-output[0]))
|
||||
res = output_sigmoid[0][0]
|
||||
# print("置信度: "+str(res))
|
||||
if res >= 0.1:
|
||||
result_list.append([box[0], box[1]])
|
||||
break
|
||||
for i in result_list:
|
||||
cv2.circle(self.img, (i[0] + 30, i[1] + 30), 5, (0, 0, 255), 5)
|
||||
cv2.imwrite("result.jpg", self.img)
|
||||
return result_list
|
||||
336
mousepath.json
Normal file
336
mousepath.json
Normal file
@@ -0,0 +1,336 @@
|
||||
[
|
||||
["move", 170, 514, 1721639139496, "pointermove"],
|
||||
["move", 171, 514, 1721639139518, "pointermove"],
|
||||
["move", 172, 514, 1721639139564, "pointermove"],
|
||||
["move", 174, 514, 1721639139578, "pointermove"],
|
||||
["move", 174, 514, 1721639139586, "pointermove"],
|
||||
["move", 175, 514, 1721639139646, "pointermove"],
|
||||
["move", 178, 514, 1721639139651, "pointermove"],
|
||||
["move", 177, 513, 1721639139652, "mousemove"],
|
||||
["move", 179, 514, 1721639139660, "pointermove"],
|
||||
["move", 182, 514, 1721639139676, "pointermove"],
|
||||
["move", 186, 514, 1721639139682, "pointermove"],
|
||||
["move", 190, 514, 1721639139690, "pointermove"],
|
||||
["move", 195, 514, 1721639139697, "pointermove"],
|
||||
["move", 195, 513, 1721639139698, "mousemove"],
|
||||
["move", 202, 514, 1721639139705, "pointermove"],
|
||||
["move", 210, 514, 1721639139712, "pointermove"],
|
||||
["move", 218, 514, 1721639139719, "pointermove"],
|
||||
["move", 230, 513, 1721639139727, "pointermove"],
|
||||
["move", 242, 512, 1721639139735, "pointermove"],
|
||||
["move", 254, 510, 1721639139741, "pointermove"],
|
||||
["move", 263, 507, 1721639139749, "pointermove"],
|
||||
["move", 263, 507, 1721639139750, "mousemove"],
|
||||
["move", 274, 504, 1721639139757, "pointermove"],
|
||||
["move", 283, 503, 1721639139765, "pointermove"],
|
||||
["move", 283, 503, 1721639139766, "mousemove"],
|
||||
["move", 292, 501, 1721639139772, "pointermove"],
|
||||
["move", 302, 500, 1721639139779, "pointermove"],
|
||||
["move", 310, 500, 1721639139787, "pointermove"],
|
||||
["move", 316, 499, 1721639139795, "pointermove"],
|
||||
["move", 316, 499, 1721639139796, "mousemove"],
|
||||
["move", 322, 498, 1721639139801, "pointermove"],
|
||||
["move", 326, 498, 1721639139810, "pointermove"],
|
||||
["move", 328, 497, 1721639139817, "pointermove"],
|
||||
["move", 330, 497, 1721639139825, "pointermove"],
|
||||
["move", 331, 497, 1721639139831, "pointermove"],
|
||||
["move", 332, 497, 1721639139839, "pointermove"],
|
||||
["move", 334, 496, 1721639139856, "pointermove"],
|
||||
["move", 335, 496, 1721639139861, "pointermove"],
|
||||
["move", 336, 496, 1721639139869, "pointermove"],
|
||||
["move", 336, 496, 1721639139870, "mousemove"],
|
||||
["move", 338, 496, 1721639139886, "pointermove"],
|
||||
["move", 339, 496, 1721639139891, "pointermove"],
|
||||
["move", 342, 495, 1721639139900, "pointermove"],
|
||||
["move", 346, 495, 1721639139907, "pointermove"],
|
||||
["move", 350, 494, 1721639139916, "pointermove"],
|
||||
["move", 354, 493, 1721639139921, "pointermove"],
|
||||
["move", 359, 493, 1721639139929, "pointermove"],
|
||||
["move", 359, 493, 1721639139930, "mousemove"],
|
||||
["move", 364, 492, 1721639139937, "pointermove"],
|
||||
["move", 370, 491, 1721639139946, "pointermove"],
|
||||
["move", 375, 490, 1721639139951, "pointermove"],
|
||||
["move", 382, 489, 1721639139959, "pointermove"],
|
||||
["move", 387, 488, 1721639139967, "pointermove"],
|
||||
["move", 394, 487, 1721639139975, "pointermove"],
|
||||
["move", 400, 487, 1721639139981, "pointermove"],
|
||||
["move", 406, 486, 1721639139989, "pointermove"],
|
||||
["move", 411, 485, 1721639139997, "pointermove"],
|
||||
["move", 415, 483, 1721639140006, "pointermove"],
|
||||
["move", 419, 482, 1721639140011, "pointermove"],
|
||||
["move", 422, 481, 1721639140019, "pointermove"],
|
||||
["move", 426, 480, 1721639140028, "pointermove"],
|
||||
["move", 427, 479, 1721639140041, "pointermove"],
|
||||
["move", 430, 478, 1721639140050, "pointermove"],
|
||||
["move", 430, 477, 1721639140057, "pointermove"],
|
||||
["move", 431, 476, 1721639140066, "pointermove"],
|
||||
["move", 431, 475, 1721639140072, "pointermove"],
|
||||
["move", 431, 474, 1721639140088, "pointermove"],
|
||||
["move", 431, 472, 1721639140102, "pointermove"],
|
||||
["move", 431, 471, 1721639140110, "pointermove"],
|
||||
["move", 431, 469, 1721639140118, "pointermove"],
|
||||
["move", 431, 468, 1721639140126, "pointermove"],
|
||||
["move", 431, 466, 1721639140132, "pointermove"],
|
||||
["move", 431, 464, 1721639140148, "pointermove"],
|
||||
["move", 431, 462, 1721639140156, "pointermove"],
|
||||
["move", 431, 460, 1721639140186, "pointermove"],
|
||||
["move", 431, 459, 1721639140261, "pointermove"],
|
||||
["move", 432, 460, 1721639140530, "pointermove"],
|
||||
["move", 432, 462, 1721639140538, "pointermove"],
|
||||
["move", 434, 462, 1721639140546, "pointermove"],
|
||||
["move", 434, 463, 1721639140552, "pointermove"],
|
||||
["move", 432, 464, 1721639140912, "pointermove"],
|
||||
["move", 429, 466, 1721639140920, "pointermove"],
|
||||
["move", 426, 467, 1721639140928, "pointermove"],
|
||||
["move", 422, 470, 1721639140934, "pointermove"],
|
||||
["move", 417, 471, 1721639140942, "pointermove"],
|
||||
["move", 413, 472, 1721639140950, "pointermove"],
|
||||
["move", 408, 474, 1721639140964, "pointermove"],
|
||||
["move", 404, 475, 1721639140972, "pointermove"],
|
||||
["move", 399, 475, 1721639140980, "pointermove"],
|
||||
["move", 395, 476, 1721639140988, "pointermove"],
|
||||
["move", 390, 478, 1721639140994, "pointermove"],
|
||||
["move", 386, 478, 1721639141002, "pointermove"],
|
||||
["move", 381, 479, 1721639141010, "pointermove"],
|
||||
["move", 376, 479, 1721639141018, "pointermove"],
|
||||
["move", 370, 479, 1721639141024, "pointermove"],
|
||||
["move", 364, 479, 1721639141032, "pointermove"],
|
||||
["move", 357, 479, 1721639141040, "pointermove"],
|
||||
["move", 352, 479, 1721639141048, "pointermove"],
|
||||
["move", 347, 479, 1721639141054, "pointermove"],
|
||||
["move", 342, 479, 1721639141062, "pointermove"],
|
||||
["move", 339, 478, 1721639141070, "pointermove"],
|
||||
["move", 336, 478, 1721639141078, "pointermove"],
|
||||
["move", 334, 478, 1721639141084, "pointermove"],
|
||||
["move", 333, 478, 1721639141100, "pointermove"],
|
||||
["move", 332, 479, 1721639141138, "pointermove"],
|
||||
["move", 331, 479, 1721639141152, "pointermove"],
|
||||
["move", 330, 479, 1721639141160, "pointermove"],
|
||||
["move", 329, 480, 1721639141168, "pointermove"],
|
||||
["move", 328, 482, 1721639141182, "pointermove"],
|
||||
["move", 327, 483, 1721639141198, "pointermove"],
|
||||
["move", 326, 483, 1721639141204, "pointermove"],
|
||||
["move", 324, 484, 1721639141212, "pointermove"],
|
||||
["move", 322, 486, 1721639141220, "pointermove"],
|
||||
["move", 319, 487, 1721639141228, "pointermove"],
|
||||
["move", 316, 488, 1721639141234, "pointermove"],
|
||||
["move", 313, 491, 1721639141242, "pointermove"],
|
||||
["move", 310, 494, 1721639141250, "pointermove"],
|
||||
["move", 306, 495, 1721639141258, "pointermove"],
|
||||
["move", 304, 495, 1721639141264, "pointermove"],
|
||||
["move", 301, 498, 1721639141272, "pointermove"],
|
||||
["move", 299, 499, 1721639141280, "pointermove"],
|
||||
["move", 297, 499, 1721639141288, "pointermove"],
|
||||
["move", 295, 499, 1721639141294, "pointermove"],
|
||||
["move", 293, 499, 1721639141302, "pointermove"],
|
||||
["move", 292, 500, 1721639141310, "pointermove"],
|
||||
["move", 291, 500, 1721639141324, "pointermove"],
|
||||
["down", 291, 500, 1721639141543, "pointerdown"],
|
||||
["up", 291, 500, 1721639141580, "pointerup"],
|
||||
["move", 294, 500, 1721639141654, "pointermove"],
|
||||
["move", 299, 500, 1721639141662, "pointermove"],
|
||||
["move", 306, 500, 1721639141670, "pointermove"],
|
||||
["move", 314, 499, 1721639141678, "pointermove"],
|
||||
["move", 323, 498, 1721639141684, "pointermove"],
|
||||
["move", 334, 497, 1721639141692, "pointermove"],
|
||||
["move", 344, 495, 1721639141708, "pointermove"],
|
||||
["move", 356, 493, 1721639141714, "pointermove"],
|
||||
["move", 367, 491, 1721639141722, "pointermove"],
|
||||
["move", 378, 489, 1721639141730, "pointermove"],
|
||||
["move", 387, 487, 1721639141738, "pointermove"],
|
||||
["move", 395, 485, 1721639141744, "pointermove"],
|
||||
["move", 402, 483, 1721639141752, "pointermove"],
|
||||
["move", 407, 482, 1721639141760, "pointermove"],
|
||||
["move", 410, 481, 1721639141768, "pointermove"],
|
||||
["move", 412, 480, 1721639141774, "pointermove"],
|
||||
["move", 414, 479, 1721639141924, "pointermove"],
|
||||
["move", 415, 479, 1721639141932, "pointermove"],
|
||||
["move", 416, 478, 1721639141940, "pointermove"],
|
||||
["move", 419, 477, 1721639141949, "pointermove"],
|
||||
["move", 422, 475, 1721639141954, "pointermove"],
|
||||
["move", 426, 475, 1721639141962, "pointermove"],
|
||||
["move", 430, 473, 1721639141970, "pointermove"],
|
||||
["move", 434, 472, 1721639141978, "pointermove"],
|
||||
["move", 436, 470, 1721639141984, "pointermove"],
|
||||
["move", 440, 469, 1721639141992, "pointermove"],
|
||||
["move", 443, 468, 1721639142000, "pointermove"],
|
||||
["move", 446, 467, 1721639142008, "pointermove"],
|
||||
["move", 450, 466, 1721639142014, "pointermove"],
|
||||
["move", 450, 466, 1721639142022, "pointermove"],
|
||||
["move", 451, 466, 1721639142030, "pointermove"],
|
||||
["move", 452, 466, 1721639142038, "pointermove"],
|
||||
["move", 454, 466, 1721639142044, "pointermove"],
|
||||
["down", 454, 466, 1721639142082, "pointerdown"],
|
||||
["up", 454, 466, 1721639142134, "pointerup"],
|
||||
["move", 454, 467, 1721639142194, "pointermove"],
|
||||
["move", 454, 471, 1721639142202, "pointermove"],
|
||||
["move", 451, 475, 1721639142210, "pointermove"],
|
||||
["move", 448, 479, 1721639142216, "pointermove"],
|
||||
["move", 444, 483, 1721639142224, "pointermove"],
|
||||
["move", 439, 488, 1721639142232, "pointermove"],
|
||||
["move", 434, 494, 1721639142240, "pointermove"],
|
||||
["move", 429, 499, 1721639142246, "pointermove"],
|
||||
["move", 424, 503, 1721639142262, "pointermove"],
|
||||
["move", 419, 508, 1721639142270, "pointermove"],
|
||||
["move", 415, 512, 1721639142276, "pointermove"],
|
||||
["move", 411, 516, 1721639142284, "pointermove"],
|
||||
["move", 407, 520, 1721639142292, "pointermove"],
|
||||
["move", 404, 524, 1721639142300, "pointermove"],
|
||||
["move", 402, 527, 1721639142306, "pointermove"],
|
||||
["move", 399, 530, 1721639142314, "pointermove"],
|
||||
["move", 398, 531, 1721639142322, "pointermove"],
|
||||
["move", 397, 531, 1721639142330, "pointermove"],
|
||||
["move", 396, 532, 1721639142336, "pointermove"],
|
||||
["move", 395, 534, 1721639142344, "pointermove"],
|
||||
["move", 394, 535, 1721639142352, "pointermove"],
|
||||
["move", 393, 535, 1721639142360, "pointermove"],
|
||||
["move", 392, 536, 1721639142366, "pointermove"],
|
||||
["move", 391, 538, 1721639142374, "pointermove"],
|
||||
["move", 390, 539, 1721639142382, "pointermove"],
|
||||
["move", 389, 539, 1721639142390, "pointermove"],
|
||||
["move", 387, 540, 1721639142396, "pointermove"],
|
||||
["move", 386, 542, 1721639142404, "pointermove"],
|
||||
["move", 384, 543, 1721639142412, "pointermove"],
|
||||
["move", 383, 546, 1721639142420, "pointermove"],
|
||||
["move", 381, 547, 1721639142426, "pointermove"],
|
||||
["move", 379, 550, 1721639142434, "pointermove"],
|
||||
["move", 378, 551, 1721639142450, "pointermove"],
|
||||
["move", 377, 551, 1721639142456, "pointermove"],
|
||||
["move", 376, 554, 1721639142464, "pointermove"],
|
||||
["move", 376, 555, 1721639142472, "pointermove"],
|
||||
["move", 375, 556, 1721639142480, "pointermove"],
|
||||
["move", 373, 558, 1721639142486, "pointermove"],
|
||||
["move", 372, 559, 1721639142495, "pointermove"],
|
||||
["move", 371, 562, 1721639142502, "pointermove"],
|
||||
["move", 370, 563, 1721639142511, "pointermove"],
|
||||
["move", 370, 564, 1721639142516, "pointermove"],
|
||||
["move", 369, 566, 1721639142524, "pointermove"],
|
||||
["down", 369, 566, 1721639142554, "pointerdown"],
|
||||
["up", 369, 566, 1721639142606, "pointerup"],
|
||||
["move", 369, 564, 1721639142652, "pointermove"],
|
||||
["move", 369, 562, 1721639142661, "pointermove"],
|
||||
["move", 368, 558, 1721639142666, "pointermove"],
|
||||
["move", 366, 554, 1721639142674, "pointermove"],
|
||||
["move", 363, 548, 1721639142682, "pointermove"],
|
||||
["move", 359, 541, 1721639142690, "pointermove"],
|
||||
["move", 353, 534, 1721639142696, "pointermove"],
|
||||
["move", 346, 524, 1721639142704, "pointermove"],
|
||||
["move", 337, 514, 1721639142712, "pointermove"],
|
||||
["move", 328, 505, 1721639142720, "pointermove"],
|
||||
["move", 318, 496, 1721639142726, "pointermove"],
|
||||
["move", 308, 487, 1721639142734, "pointermove"],
|
||||
["move", 299, 480, 1721639142742, "pointermove"],
|
||||
["move", 291, 474, 1721639142750, "pointermove"],
|
||||
["move", 283, 468, 1721639142756, "pointermove"],
|
||||
["move", 277, 464, 1721639142764, "pointermove"],
|
||||
["move", 273, 460, 1721639142772, "pointermove"],
|
||||
["move", 270, 457, 1721639142780, "pointermove"],
|
||||
["move", 268, 455, 1721639142786, "pointermove"],
|
||||
["move", 266, 453, 1721639142794, "pointermove"],
|
||||
["move", 265, 451, 1721639142802, "pointermove"],
|
||||
["move", 264, 448, 1721639142816, "pointermove"],
|
||||
["move", 263, 446, 1721639142824, "pointermove"],
|
||||
["move", 262, 444, 1721639142832, "pointermove"],
|
||||
["move", 262, 442, 1721639142840, "pointermove"],
|
||||
["move", 261, 440, 1721639142846, "pointermove"],
|
||||
["move", 261, 438, 1721639142854, "pointermove"],
|
||||
["move", 261, 436, 1721639142862, "pointermove"],
|
||||
["move", 261, 434, 1721639142870, "pointermove"],
|
||||
["move", 261, 432, 1721639142876, "pointermove"],
|
||||
["move", 261, 430, 1721639142884, "pointermove"],
|
||||
["move", 261, 428, 1721639142892, "pointermove"],
|
||||
["move", 261, 426, 1721639142900, "pointermove"],
|
||||
["move", 261, 424, 1721639142906, "pointermove"],
|
||||
["move", 261, 423, 1721639142914, "pointermove"],
|
||||
["move", 261, 421, 1721639142922, "pointermove"],
|
||||
["move", 261, 420, 1721639142930, "pointermove"],
|
||||
["move", 261, 418, 1721639142936, "pointermove"],
|
||||
["move", 261, 415, 1721639142952, "pointermove"],
|
||||
["move", 260, 414, 1721639142960, "pointermove"],
|
||||
["move", 259, 412, 1721639142974, "pointermove"],
|
||||
["move", 258, 411, 1721639142982, "pointermove"],
|
||||
["move", 258, 410, 1721639142990, "pointermove"],
|
||||
["move", 258, 407, 1721639143012, "pointermove"],
|
||||
["move", 257, 406, 1721639143020, "pointermove"],
|
||||
["move", 256, 404, 1721639143034, "pointermove"],
|
||||
["move", 256, 403, 1721639143042, "pointermove"],
|
||||
["move", 255, 402, 1721639143050, "pointermove"],
|
||||
["down", 255, 401, 1721639143124, "pointerdown"],
|
||||
["up", 255, 401, 1721639143192, "pointerup"],
|
||||
["move", 256, 404, 1721639143252, "pointermove"],
|
||||
["move", 258, 410, 1721639143260, "pointermove"],
|
||||
["move", 262, 415, 1721639143266, "pointermove"],
|
||||
["move", 266, 423, 1721639143274, "pointermove"],
|
||||
["move", 271, 431, 1721639143282, "pointermove"],
|
||||
["move", 276, 439, 1721639143290, "pointermove"],
|
||||
["move", 282, 448, 1721639143296, "pointermove"],
|
||||
["move", 286, 459, 1721639143304, "pointermove"],
|
||||
["move", 294, 470, 1721639143312, "pointermove"],
|
||||
["move", 300, 482, 1721639143320, "pointermove"],
|
||||
["move", 307, 492, 1721639143326, "pointermove"],
|
||||
["move", 314, 503, 1721639143334, "pointermove"],
|
||||
["move", 322, 515, 1721639143342, "pointermove"],
|
||||
["move", 330, 523, 1721639143348, "pointermove"],
|
||||
["move", 336, 535, 1721639143356, "pointermove"],
|
||||
["move", 344, 544, 1721639143372, "pointermove"],
|
||||
["move", 354, 555, 1721639143378, "pointermove"],
|
||||
["move", 362, 563, 1721639143386, "pointermove"],
|
||||
["move", 370, 572, 1721639143394, "pointermove"],
|
||||
["move", 375, 580, 1721639143402, "pointermove"],
|
||||
["move", 380, 587, 1721639143408, "pointermove"],
|
||||
["move", 386, 595, 1721639143416, "pointermove"],
|
||||
["move", 391, 600, 1721639143424, "pointermove"],
|
||||
["move", 396, 607, 1721639143433, "pointermove"],
|
||||
["move", 402, 612, 1721639143438, "pointermove"],
|
||||
["move", 406, 619, 1721639143446, "pointermove"],
|
||||
["move", 410, 624, 1721639143454, "pointermove"],
|
||||
["move", 415, 630, 1721639143462, "pointermove"],
|
||||
["move", 419, 635, 1721639143468, "pointermove"],
|
||||
["move", 422, 640, 1721639143476, "pointermove"],
|
||||
["move", 426, 644, 1721639143484, "pointermove"],
|
||||
["move", 430, 647, 1721639143492, "pointermove"],
|
||||
["move", 431, 650, 1721639143498, "pointermove"],
|
||||
["move", 434, 651, 1721639143506, "pointermove"],
|
||||
["move", 434, 652, 1721639143514, "pointermove"],
|
||||
["move", 435, 655, 1721639143522, "pointermove"],
|
||||
["move", 436, 656, 1721639143528, "pointermove"],
|
||||
["move", 436, 658, 1721639143536, "pointermove"],
|
||||
["move", 438, 659, 1721639143544, "pointermove"],
|
||||
["move", 438, 659, 1721639143552, "pointermove"],
|
||||
["move", 438, 660, 1721639143574, "pointermove"],
|
||||
["move", 439, 660, 1721639143656, "pointermove"],
|
||||
["move", 440, 662, 1721639143672, "pointermove"],
|
||||
["move", 442, 663, 1721639143678, "pointermove"],
|
||||
["move", 443, 663, 1721639143686, "pointermove"],
|
||||
["move", 444, 664, 1721639143695, "pointermove"],
|
||||
["move", 446, 666, 1721639143702, "pointermove"],
|
||||
["move", 446, 666, 1721639143708, "pointermove"],
|
||||
["move", 447, 667, 1721639143716, "pointermove"],
|
||||
["move", 447, 666, 1721639143717, "mousemove"],
|
||||
["move", 448, 667, 1721639143724, "pointermove"],
|
||||
["move", 450, 667, 1721639143732, "pointermove"],
|
||||
["move", 450, 670, 1721639143746, "pointermove"],
|
||||
["move", 452, 671, 1721639143754, "pointermove"],
|
||||
["move", 454, 672, 1721639143762, "pointermove"],
|
||||
["move", 456, 675, 1721639143768, "pointermove"],
|
||||
["move", 458, 676, 1721639143776, "pointermove"],
|
||||
["move", 460, 679, 1721639143784, "pointermove"],
|
||||
["move", 462, 680, 1721639143792, "pointermove"],
|
||||
["move", 466, 683, 1721639143798, "pointermove"],
|
||||
["move", 467, 684, 1721639143806, "pointermove"],
|
||||
["move", 470, 687, 1721639143814, "pointermove"],
|
||||
["move", 470, 688, 1721639143822, "pointermove"],
|
||||
["move", 472, 691, 1721639143828, "pointermove"],
|
||||
["move", 474, 692, 1721639143836, "pointermove"],
|
||||
["move", 475, 695, 1721639143844, "pointermove"],
|
||||
["move", 478, 696, 1721639143852, "pointermove"],
|
||||
["move", 479, 699, 1721639143858, "pointermove"],
|
||||
["move", 482, 700, 1721639143866, "pointermove"],
|
||||
["move", 482, 703, 1721639143874, "pointermove"],
|
||||
["move", 483, 703, 1721639143882, "pointermove"],
|
||||
["move", 483, 704, 1721639143888, "pointermove"],
|
||||
["move", 483, 706, 1721639143912, "pointermove"],
|
||||
["down", 483, 706, 1721639143965, "pointerdown"],
|
||||
["focus", 1721639143965],
|
||||
["up", 483, 706, 1721639144024, "pointerup"]
|
||||
]
|
||||
5
requirements.txt
Normal file
5
requirements.txt
Normal file
@@ -0,0 +1,5 @@
|
||||
httpx~=0.27.2
|
||||
cryptography~=43.0.0
|
||||
onnxruntime~=1.19.0
|
||||
opencv-python~=4.10.0.84
|
||||
numpy~=2.1.0
|
||||
1413
siamese.onnx
Normal file
1413
siamese.onnx
Normal file
File diff suppressed because one or more lines are too long
BIN
yolov8s.onnx
Normal file
BIN
yolov8s.onnx
Normal file
Binary file not shown.
Reference in New Issue
Block a user