# -*- coding: utf-8 -*-
"""
Created on Sun Sep 29 08:59:21 2024

@author: ym
"""
import os
import cv2
from pathlib import Path
from track_reid import parse_opt, yolo_resnet_tracker

from tracking.dotrack.dotracks_back import doBackTracks
from tracking.dotrack.dotracks_front import doFrontTracks 

IMGFORMATS = '.bmp', '.jpeg', '.jpg', 'png', 'tif', 'tiff', 'webp', 'pfm'
VIDFORMATS = '.avi', '.gif', '.m4v', '.mkv', '.mov', '.mp4', '.ts', '.wmv'

std_feature_path = r"\\192.168.1.28\share\测试_202406\contrast\std_features_2192_ft32vsft16"


opt = parse_opt()
optdict = vars(opt)

def get_video_pairs(vpath):
    vdieopath = []
    for filename in os.listdir(vpath):
        file, ext = os.path.splitext(filename)
        if ext in VIDFORMATS:
            vdieopath.append(os.path.join(vpath, filename))            
    return vdieopath
            

def pipeline():  
    eventpath = r"\\192.168.1.28\share\测试_202406\0918\images1\20240918-110913-c3a7e4d9-23d4-4a6f-a23f-a2eeee510536_6939947701616"
    savepath = r"D:\contrast\detect"
    
    optdict["project"] = savepath
    eventname = os.path.basename(eventpath)

    vpaths = get_video_pairs(eventpath)
    event_tracks = []
    for vpath in vpaths:  
        
        '''事件结果文件夹'''
        save_dir_event = Path(savepath) / Path(eventname)
        save_dir_img = save_dir_event / Path(str(Path(vpath).stem))
        if not save_dir_img.exists():
            save_dir_img.mkdir(parents=True, exist_ok=True)
        
        '''Yolo + Resnet + Tracker'''
        optdict["source"] = vpath
        optdict["save_dir"] = save_dir_img
        optdict["nosave"] = False
        
        tracksdict = yolo_resnet_tracker(**optdict)
        
        bboxes = tracksdict['TrackBoxes']
        
        bname = os.path.basename(vpath)
        if bname.split('_')[0] == "0" or bname.find('back')>=0:
            vts = doFrontTracks(bboxes, tracksdict)
            vts.classify()
            
            event_tracks.append(("back", vts))
            
        if  bname.split('_')[0] == "1" or bname.find('front')>=0:
            vts = doBackTracks(bboxes, tracksdict)
            vts.classify()
            event_tracks.append(("front", vts))
    
    
    for CamerType, vts in event_tracks:
        if CamerType == 'back':
            pass
        if CamerType == 'front':
            pass
        
        
    for featname in os.listdir(std_feature_path):
        pass
            
        
    
    
    
    
    
    

def main():
    pipeline()


if __name__ == "__main__": 
    main()