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import gradio as gr
import argparse
from pathlib import Path
import torch
from numpy import random
from models.experimental import attempt_load
from utils.datasets import LoadImages
from utils.general import check_img_size, scale_coords, xyxy2xywh, non_max_suppression
from utils.plots import plot_one_box
from PIL import Image
from huggingface_hub import hf_hub_download
import cv2
import json
import numpy as np


cameras = {
    "0031": [
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.165, "y": 0.594 },{ "x": 0.208, "y": 0.582 },{ "x": 0.344, "y": 0.912 },{ "x": 0.238, "y": 0.916 }]},
            {"coordinates": [{ "x": 0.569, "y": 0.571 },{ "x": 0.617, "y": 0.620 },{ "x": 0.663, "y": 0.719 },{ "x": 0.671, "y": 0.866 },{ "x": 0.914, "y": 0.836 },{ "x": 0.710, "y": 0.668 },{ "x": 0.581, "y": 0.579 }]}
        ])},
        {"name": "night", "path": "night_2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.165, "y": 0.594 },{ "x": 0.208, "y": 0.582 },{ "x": 0.344, "y": 0.912 },{ "x": 0.238, "y": 0.916 }]},
            {"coordinates": [{ "x": 0.569, "y": 0.571 },{ "x": 0.617, "y": 0.620 },{ "x": 0.663, "y": 0.719 },{ "x": 0.671, "y": 0.866 },{ "x": 0.914, "y": 0.836 },{ "x": 0.710, "y": 0.668 },{ "x": 0.581, "y": 0.579 }]}
        ])},
        {"name": "day", "path": "daytime.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.165, "y": 0.594 },{ "x": 0.208, "y": 0.582 },{ "x": 0.344, "y": 0.912 },{ "x": 0.238, "y": 0.916 }]},
            {"coordinates": [{ "x": 0.569, "y": 0.571 },{ "x": 0.617, "y": 0.620 },{ "x": 0.663, "y": 0.719 },{ "x": 0.671, "y": 0.866 },{ "x": 0.914, "y": 0.836 },{ "x": 0.710, "y": 0.668 },{ "x": 0.581, "y": 0.579 }]}
        ])},
        {"name": "day", "path": "daytime2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.165, "y": 0.594 },{ "x": 0.208, "y": 0.582 },{ "x": 0.344, "y": 0.912 },{ "x": 0.238, "y": 0.916 }]},
            {"coordinates": [{ "x": 0.569, "y": 0.571 },{ "x": 0.617, "y": 0.620 },{ "x": 0.663, "y": 0.719 },{ "x": 0.671, "y": 0.866 },{ "x": 0.914, "y": 0.836 },{ "x": 0.710, "y": 0.668 },{ "x": 0.581, "y": 0.579 }]}
        ])}
    ],
    "0034": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.072, "y": 0.475 },{ "x": 0.105, "y": 0.445 },{ "x": 0.212, "y": 0.914 },{ "x": 0.027, "y": 0.911 }]},
            {"coordinates": [{ "x": 0.233, "y": 0.433 },{ "x": 0.268, "y": 0.409 },{ "x": 0.879, "y": 0.885 },{ "x": 0.695, "y": 0.914 }]}
        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.072, "y": 0.475 },{ "x": 0.105, "y": 0.445 },{ "x": 0.212, "y": 0.914 },{ "x": 0.027, "y": 0.911 }]},
            {"coordinates": [{ "x": 0.233, "y": 0.433 },{ "x": 0.268, "y": 0.409 },{ "x": 0.879, "y": 0.885 },{ "x": 0.695, "y": 0.914 }]}
        ])},
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.072, "y": 0.475 },{ "x": 0.105, "y": 0.445 },{ "x": 0.212, "y": 0.914 },{ "x": 0.027, "y": 0.911 }]},
            {"coordinates": [{ "x": 0.233, "y": 0.433 },{ "x": 0.268, "y": 0.409 },{ "x": 0.879, "y": 0.885 },{ "x": 0.695, "y": 0.914 }]}
        ])}
    ],
    "0033": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.064, "y": 0.311 },{ "x": 0.089, "y": 0.297 },{ "x": 0.210, "y": 0.410 },{ "x": 0.263, "y": 0.508 },{ "x": 0.344, "y": 0.863 },{ "x": 0.195, "y": 0.883 },{ "x": 0.177, "y": 0.533 },{ "x": 0.113, "y": 0.361 },{ "x": 0.051, "y": 0.299 }]},
        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.064, "y": 0.311 },{ "x": 0.089, "y": 0.297 },{ "x": 0.210, "y": 0.410 },{ "x": 0.263, "y": 0.508 },{ "x": 0.344, "y": 0.863 },{ "x": 0.195, "y": 0.883 },{ "x": 0.177, "y": 0.533 },{ "x": 0.113, "y": 0.361 },{ "x": 0.051, "y": 0.299 }]},
        ])},
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.064, "y": 0.311 },{ "x": 0.089, "y": 0.297 },{ "x": 0.210, "y": 0.410 },{ "x": 0.263, "y": 0.508 },{ "x": 0.344, "y": 0.863 },{ "x": 0.195, "y": 0.883 },{ "x": 0.177, "y": 0.533 },{ "x": 0.113, "y": 0.361 },{ "x": 0.051, "y": 0.299 }]},
        ])}
    ],
    "0307": [
        {"name": "day", "path": "daytime.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.551, "y": 0.395 },{ "x": 0.568, "y": 0.391 },{ "x": 0.995, "y": 0.693 },{ "x": 0.996, "y": 0.794 }]},
            {"coordinates": [{ "x": 0.448, "y": 0.379 },{ "x": 0.473, "y": 0.379 },{ "x": 0.661, "y": 0.908 },{ "x": 0.393, "y": 0.920 }]},

        ])},
        {"name": "day", "path": "daytime2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.551, "y": 0.395 },{ "x": 0.568, "y": 0.391 },{ "x": 0.995, "y": 0.693 },{ "x": 0.996, "y": 0.794 }]},
            {"coordinates": [{ "x": 0.448, "y": 0.379 },{ "x": 0.473, "y": 0.379 },{ "x": 0.661, "y": 0.908 },{ "x": 0.393, "y": 0.920 }]},

        ])},        
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.551, "y": 0.395 },{ "x": 0.568, "y": 0.391 },{ "x": 0.995, "y": 0.693 },{ "x": 0.996, "y": 0.794 }]},
            {"coordinates": [{ "x": 0.448, "y": 0.379 },{ "x": 0.473, "y": 0.379 },{ "x": 0.661, "y": 0.908 },{ "x": 0.393, "y": 0.920 }]},

        ])},
        {"name": "night", "path": "night2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.551, "y": 0.395 },{ "x": 0.568, "y": 0.391 },{ "x": 0.995, "y": 0.693 },{ "x": 0.996, "y": 0.794 }]},
            {"coordinates": [{ "x": 0.448, "y": 0.379 },{ "x": 0.473, "y": 0.379 },{ "x": 0.661, "y": 0.908 },{ "x": 0.393, "y": 0.920 }]},

        ])}
    ],
    "0308": [
        {"name": "day", "path": "daytime.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.713, "y": 0.327 },{ "x": 0.741, "y": 0.324 },{ "x": 0.709, "y": 0.914 },{ "x": 0.483, "y": 0.913 }]},

        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.713, "y": 0.327 },{ "x": 0.741, "y": 0.324 },{ "x": 0.709, "y": 0.914 },{ "x": 0.483, "y": 0.913 }]},

        ])},        
        {"name": "foggy day", "path": "foggy_day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.713, "y": 0.327 },{ "x": 0.741, "y": 0.324 },{ "x": 0.709, "y": 0.914 },{ "x": 0.483, "y": 0.913 }]},

        ])},
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.713, "y": 0.327 },{ "x": 0.741, "y": 0.324 },{ "x": 0.709, "y": 0.914 },{ "x": 0.483, "y": 0.913 }]},
        ])}
    ],
    "0309": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.678, "y": 0.411 },{ "x": 0.696, "y": 0.407 },{ "x": 0.718, "y": 0.915 },{ "x": 0.438, "y": 0.917 }]},

        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.678, "y": 0.411 },{ "x": 0.696, "y": 0.407 },{ "x": 0.718, "y": 0.915 },{ "x": 0.438, "y": 0.917 }]},

        ])},        
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.678, "y": 0.411 },{ "x": 0.696, "y": 0.407 },{ "x": 0.718, "y": 0.915 },{ "x": 0.438, "y": 0.917 }]},

        ])}
    ],
    "0310": [
        {"name": "day", "path": "daytime.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.682, "y": 0.458 },{ "x": 0.700, "y": 0.454 },{ "x": 0.729, "y": 0.907 },{ "x": 0.466, "y": 0.909 }]},

        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.682, "y": 0.458 },{ "x": 0.700, "y": 0.454 },{ "x": 0.729, "y": 0.907 },{ "x": 0.466, "y": 0.909 }]},

        ])},        
        {"name": "night", "path": "night_2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.682, "y": 0.458 },{ "x": 0.700, "y": 0.454 },{ "x": 0.729, "y": 0.907 },{ "x": 0.466, "y": 0.909 }]},

        ])}
    ],
    "0313": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.656, "y": 0.283 },{ "x": 0.674, "y": 0.285 },{ "x": 0.675, "y": 0.913 },{ "x": 0.328, "y": 0.912 }]},

        ])},
        {"name": "foggy day", "path": "foggy_day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.656, "y": 0.283 },{ "x": 0.674, "y": 0.285 },{ "x": 0.675, "y": 0.913 },{ "x": 0.328, "y": 0.912 }]},

        ])},        
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.656, "y": 0.283 },{ "x": 0.674, "y": 0.285 },{ "x": 0.675, "y": 0.913 },{ "x": 0.328, "y": 0.912 }]},

        ])},
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.656, "y": 0.283 },{ "x": 0.674, "y": 0.285 },{ "x": 0.675, "y": 0.913 },{ "x": 0.328, "y": 0.912 }]},

        ])},
    ],
    "0317": [
        {"name": "day", "path": "daytime_4.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.539, "y": 0.461 },{ "x": 0.569, "y": 0.457 },{ "x": 0.578, "y": 0.913 },{ "x": 0.322, "y": 0.913 }]},

        ])},
        {"name": "day", "path": "daytime_5.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.539, "y": 0.461 },{ "x": 0.569, "y": 0.457 },{ "x": 0.578, "y": 0.913 },{ "x": 0.322, "y": 0.913 }]},

        ])},        
        {"name": "day", "path": "daytime_2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.539, "y": 0.461 },{ "x": 0.569, "y": 0.457 },{ "x": 0.578, "y": 0.913 },{ "x": 0.322, "y": 0.913 }]},

        ])},
        {"name": "evening", "path": "evening_2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.539, "y": 0.461 },{ "x": 0.569, "y": 0.457 },{ "x": 0.578, "y": 0.913 },{ "x": 0.322, "y": 0.913 }]},

        ])},
        {"name": "evening", "path": "eve.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.539, "y": 0.461 },{ "x": 0.569, "y": 0.457 },{ "x": 0.578, "y": 0.913 },{ "x": 0.322, "y": 0.913 }]},

        ])},
        {"name": "night", "path": "night_2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.539, "y": 0.461 },{ "x": 0.569, "y": 0.457 },{ "x": 0.578, "y": 0.913 },{ "x": 0.322, "y": 0.913 }]},

        ])},
    ],
    "0321": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.647, "y": 0.297 },{ "x": 0.682, "y": 0.301 },{ "x": 0.704, "y": 0.903 },{ "x": 0.346, "y": 0.919 }]},

        ])},
        {"name": "day", "path": "day2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.647, "y": 0.297 },{ "x": 0.682, "y": 0.301 },{ "x": 0.704, "y": 0.903 },{ "x": 0.346, "y": 0.919 }]},

        ])},        
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.647, "y": 0.297 },{ "x": 0.682, "y": 0.301 },{ "x": 0.704, "y": 0.903 },{ "x": 0.346, "y": 0.919 }]},

        ])}
    ],
    "0322": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.672, "y": 0.421 },{ "x": 0.696, "y": 0.421 },{ "x": 0.660, "y": 0.914 },{ "x": 0.418, "y": 0.913 }]},

        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.672, "y": 0.421 },{ "x": 0.696, "y": 0.421 },{ "x": 0.660, "y": 0.914 },{ "x": 0.418, "y": 0.913 }]},

        ])},        
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.672, "y": 0.421 },{ "x": 0.696, "y": 0.421 },{ "x": 0.660, "y": 0.914 },{ "x": 0.418, "y": 0.913 }]},

        ])},
    ],
    "0327": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.560, "y": 0.481 },{ "x": 0.619, "y": 0.486 },{ "x": 0.572, "y": 0.920 },{ "x": 0.433, "y": 0.916 }]},
            {"coordinates": [{ "x": 0.357, "y": 0.266 },{ "x": 0.368, "y": 0.280 },{ "x": 0.002, "y": 0.611 },{ "x": 0.001, "y": 0.559 }]},

        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.560, "y": 0.481 },{ "x": 0.619, "y": 0.486 },{ "x": 0.572, "y": 0.920 },{ "x": 0.433, "y": 0.916 }]},
            {"coordinates": [{ "x": 0.357, "y": 0.266 },{ "x": 0.368, "y": 0.280 },{ "x": 0.002, "y": 0.611 },{ "x": 0.001, "y": 0.559 }]},

        ])},        
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.560, "y": 0.481 },{ "x": 0.619, "y": 0.486 },{ "x": 0.572, "y": 0.920 },{ "x": 0.433, "y": 0.916 }]},
            {"coordinates": [{ "x": 0.357, "y": 0.266 },{ "x": 0.368, "y": 0.280 },{ "x": 0.002, "y": 0.611 },{ "x": 0.001, "y": 0.559 }]},

        ])},
    ],
    "0468": [
        {"name": "day", "path": "daytime.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.997, "y": 0.433 },{ "x": 0.929, "y": 0.481 },{ "x": 0.902, "y": 0.523 },{ "x": 0.906, "y": 0.566 },{ "x": 0.997, "y": 0.651 }]},
            {"coordinates": [{ "x": 0.172, "y": 0.582 },{ "x": 0.273, "y": 0.587 },{ "x": 0.261, "y": 0.920 },{ "x": 0.097, "y": 0.918 }]},

        ])},
        {"name": "day", "path": "daytime_2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.997, "y": 0.433 },{ "x": 0.929, "y": 0.481 },{ "x": 0.902, "y": 0.523 },{ "x": 0.906, "y": 0.566 },{ "x": 0.997, "y": 0.651 }]},
            {"coordinates": [{ "x": 0.172, "y": 0.582 },{ "x": 0.273, "y": 0.587 },{ "x": 0.261, "y": 0.920 },{ "x": 0.097, "y": 0.918 }]},

        ])},        
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.997, "y": 0.433 },{ "x": 0.929, "y": 0.481 },{ "x": 0.902, "y": 0.523 },{ "x": 0.906, "y": 0.566 },{ "x": 0.997, "y": 0.651 }]},
            {"coordinates": [{ "x": 0.172, "y": 0.582 },{ "x": 0.273, "y": 0.587 },{ "x": 0.261, "y": 0.920 },{ "x": 0.097, "y": 0.918 }]},

        ])},
        {"name": "evening", "path": "evening2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.997, "y": 0.433 },{ "x": 0.929, "y": 0.481 },{ "x": 0.902, "y": 0.523 },{ "x": 0.906, "y": 0.566 },{ "x": 0.997, "y": 0.651 }]},
            {"coordinates": [{ "x": 0.172, "y": 0.582 },{ "x": 0.273, "y": 0.587 },{ "x": 0.261, "y": 0.920 },{ "x": 0.097, "y": 0.918 }]},

        ])},
    ],
    "0483": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.582, "y": 0.561 },{ "x": 0.592, "y": 0.563 },{ "x": 0.664, "y": 0.614 },{ "x": 0.773, "y": 0.744 },{ "x": 0.871, "y": 0.916 },{ "x": 0.791, "y": 0.923 }]},

        ])},
        {"name": "evening", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.582, "y": 0.561 },{ "x": 0.592, "y": 0.563 },{ "x": 0.664, "y": 0.614 },{ "x": 0.773, "y": 0.744 },{ "x": 0.871, "y": 0.916 },{ "x": 0.791, "y": 0.923 }]},

        ])},
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.582, "y": 0.561 },{ "x": 0.592, "y": 0.563 },{ "x": 0.664, "y": 0.614 },{ "x": 0.773, "y": 0.744 },{ "x": 0.871, "y": 0.916 },{ "x": 0.791, "y": 0.923 }]},

        ])},
    ],
    "0548": [
        {"name": "day", "path": "day2.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.709, "y": 0.347 },{ "x": 0.746, "y": 0.347 },{ "x": 0.695, "y": 0.912 },{ "x": 0.553, "y": 0.909 }]},
            {"coordinates": [{ "x": 0.440, "y": 0.363 },{ "x": 0.456, "y": 0.371 },{ "x": 0.013, "y": 0.708 },{ "x": 0.002, "y": 0.668 }]},

        ])},
        {"name": "foggy day", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.709, "y": 0.347 },{ "x": 0.746, "y": 0.347 },{ "x": 0.695, "y": 0.912 },{ "x": 0.553, "y": 0.909 }]},
            {"coordinates": [{ "x": 0.440, "y": 0.363 },{ "x": 0.456, "y": 0.371 },{ "x": 0.013, "y": 0.708 },{ "x": 0.002, "y": 0.668 }]},

        ])}      
    ],
    "0566": [
        {"name": "day", "path": "day.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.643, "y": 0.267 },{ "x": 0.707, "y": 0.289 },{ "x": 0.615, "y": 0.635 },{ "x": 0.448, "y": 0.669 }]},

        ])}
    ],
    "0569": [
        {"name": "day", "path": "evening.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.399, "y": 0.615 },{ "x": 0.307, "y": 0.643 },{ "x": 0.282, "y": 0.669 },{ "x": 0.300, "y": 0.712 },{ "x": 0.369, "y": 0.754 },{ "x": 0.551, "y": 0.840 },{ "x": 0.670, "y": 0.921 },{ "x": 0.815, "y": 0.918 },{ "x": 0.555, "y": 0.789 },{ "x": 0.415, "y": 0.721 },{ "x": 0.364, "y": 0.663 },{ "x": 0.422, "y": 0.621 }]},

        ])},
        {"name": "night", "path": "night.jpg", "roi": json.dumps([
            {"coordinates": [{ "x": 0.399, "y": 0.615 },{ "x": 0.307, "y": 0.643 },{ "x": 0.282, "y": 0.669 },{ "x": 0.300, "y": 0.712 },{ "x": 0.369, "y": 0.754 },{ "x": 0.551, "y": 0.840 },{ "x": 0.670, "y": 0.921 },{ "x": 0.815, "y": 0.918 },{ "x": 0.555, "y": 0.789 },{ "x": 0.415, "y": 0.721 },{ "x": 0.364, "y": 0.663 },{ "x": 0.422, "y": 0.621 }]},

        ])}      
    ]
}


def load_model(model_name):
    model_path = hf_hub_download(repo_id=f"Yolov7/{model_name}", filename=f"{model_name}.pt")
    return model_path

model_names = ["yolov7", "yolov7-e6e", "yolov7-e6"]
models = {model_name: load_model(model_name) for model_name in model_names}

def parse_rois(roi_json):
    """
    Parse the ROI JSON structure and return a list of ROI polygons.
    """
    rois_data = json.loads(roi_json)
    roi_polygons = []

    for roi in rois_data:
        coordinates = roi["coordinates"]
        roi_points = [(int(coord["x"]), int(coord["y"])) for coord in coordinates]
        roi_polygons.append(roi_points)

    return roi_polygons

rois = []
names= [ 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
         'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
         'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
         'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
         'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
         'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
         'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
         'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
         'hair drier', 'toothbrush' ]
desired_classes = ['person', 'bicycle', 'car', 'motorcycle', 'bus', 'train', 'truck']
desired_indices = [names.index(cls) for cls in desired_classes if cls in names]
print(desired_indices)



def detect(img, model, rois):
    if img is None:
        raise ValueError("No image provided!")

    img.save("Inference/test.jpg")
    source = 'Inference/'
    weights = models[model]
    imgsz = 640

    # Parse the ROIs from the textbox input
    rois_data = json.loads(rois)
    device = torch.device('cpu')
    model = attempt_load(weights, map_location=device)
    stride = int(model.stride.max())
    imgsz = check_img_size(imgsz, s=stride)

    dataset = LoadImages(source, img_size=imgsz, stride=stride)
    names = model.module.names if hasattr(model, 'module') else model.names
    colors = [[random.randint(0, 255) for _ in range(3)] for _ in names]


    for path, img, im0s, _ in dataset:
        img = torch.from_numpy(img).to(device).float()
        img /= 255.0
        if img.ndimension() == 3:
            img = img.unsqueeze(0)

        pred = model(img)[0]
        pred = non_max_suppression(pred, 0.25, 0.45)

        p, s, im0 = path, '', im0s

        # Draw ROI polygons on the image
        roi_points_list = []
        for roi in rois_data:
            roi_points = [(int(coord['x'] * im0.shape[1]), int(coord['y'] * im0.shape[0])) for coord in roi['coordinates']]
            roi_points_list.append(roi_points)
            cv2.polylines(im0, [np.array(roi_points)], isClosed=True, color=(0, 255, 0), thickness=2)

        for i, det in enumerate(pred):
            p, s, im0 = path, '', im0s
            gn = torch.tensor(im0.shape)[[1, 0, 1, 0]]
            if len(det):
                det[:, :4] = scale_coords(img.shape[2:], det[:, :4], im0.shape).round()

            # Filter detections based on ROIs and desired classes
            filtered_detections = []
            for *xyxy, conf, cls in reversed(det):
                if int(cls) not in desired_indices:
                    continue
                x_center = float((xyxy[0] + xyxy[2]) / 2)
                y_center = float((xyxy[1] + xyxy[3]) / 2)

                inside_roi = False
                for roi_points in roi_points_list:
                    if cv2.pointPolygonTest(np.array(roi_points, dtype=np.float32), (x_center, y_center), False) >= 0:
                        inside_roi = True
                        break

                filtered_detections.append((*xyxy, conf, cls, inside_roi))

            # Plot the detections with the desired color
            for *xyxy, conf, cls, inside_roi in filtered_detections:
                color = (0, 255, 0) if inside_roi else (0, 0, 255)  # green for inside ROI, red for outside
                label = f'{names[int(cls)]} {conf:.2f}'
                plot_one_box(xyxy, im0, label=label, color=color, line_thickness=1)

        return Image.fromarray(im0[:,:,::-1])
    
def get_dropdown_choices():
    choices = []
    for camera, images in cameras.items():
        for image in images:
            choice = f"{camera} - {image['name']}"
            choices.append(choice)
    return choices

def detect_with_camera(choice):
    # Extract the camera and image_name from the choice
    camera, image_name = choice.split(" - ")
    
    # Find the correct image and roi_json based on the camera and image_name
    for image in cameras[camera]:
        if image['name'] == image_name:
            img_path = f"{camera}/{image['path']}"
            roi_json = image['roi']
            break
    else:
        raise ValueError(f"No image found for camera {camera} with name {image_name}")
    
    # Load the image based on the camera and image_name
    img = Image.open(img_path)
    
    # Process the image with the detection model
    processed_img = detect(img, "yolov7", roi_json)
    
    return img, processed_img

iface = gr.Interface(
    detect_with_camera,
    gr.Dropdown(choices=get_dropdown_choices(), label="Select Camera and Image"),
    [
        gr.Image(type="pil", label="Raw Camera Stream"),
        gr.Image(type="pil", label="Processed Stream")
    ],
    live=True,
    title="Vehicle Detection on Roadside",
    description="Select a camera and image to view vehicle detection results."
)

iface.launch()