4. Liga Bratislava stats & predictions

Beyond the Pitch: Exploring Soccer Culture in Slovakia

Soccer is more than just a game; it's an integral part of Slovakian culture. The passion for football runs deep within communities across Slovakia, bringing people together regardless of age or background. Explore how soccer influences everyday life in Slovakia through stories from local fans who share their experiences attending matches at stadiums filled with roaring supporters chanting their team’s names.

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SPECTACULAR TRANSFERS FROM LIGA BRATISLAVA TO BIGGER LEAGUES – FOLLOW THE JOURNEY OF SLOVAKIAN TALENTS MAKING IT BIG IN EUROPEAN SOCCER!stefanhuber1998/HR-Net<|file_sep|>/data/make_dataset.py import os import os.path import sys import cv2 import glob from PIL import Image from tqdm import tqdm def load_image(img_path): image = Image.open(img_path) image = image.convert('RGB') image = np.array(image) return image def get_image_paths(img_dir): image_paths = [] for ext in ['*.jpg', '*.jpeg', '*.png']: image_paths.extend(glob.glob(os.path.join(img_dir, ext))) return image_paths def get_anno_paths(anno_dir): anno_paths = [] for ext in ['*.jpg', '*.jpeg', '*.png']: anno_paths.extend(glob.glob(os.path.join(anno_dir, ext))) return anno_paths def save_image(img_dir,img_name,img): img = Image.fromarray(img) img.save(os.path.join(img_dir,img_name)) def get_img_size(img_path): img = cv2.imread(img_path) h,w,c = img.shape return h,w def resize_img(img,h,w): img = cv2.resize(img,(w,h)) return img def resize_anno(anno,h,w): anno = cv2.resize(anno,(w,h),interpolation=cv2.INTER_NEAREST) return anno def read_mask(mask_path): mask = cv2.imread(mask_path,-1) return mask def resize_mask(mask,h,w): mask = cv2.resize(mask,(w,h),interpolation=cv2.INTER_NEAREST) return mask def combine_mask(mask0,mask1): mask = np.where((mask0==255) & (mask1==255),255,np.where((mask0==255) | (mask1==255),255,-1)) return mask def convert_mask_to_color(mask): masks = mask.copy() colors = [(0,0,0),(255,0,0),(0,255,0),(0,0,255),(255,255,0),(255,0,255)] colors += [(color[0]//256,color[1]//256,color[2]//256) for color in colors] colors += [(color[0]//256,color[1]//256,color[2]//256) for color in colors] for i,color in enumerate(colors): masks[mask==i+1] = color return masks if __name__ == '__main__': # read data path from arguments img_dir = sys.argv[1] anno_dir = sys.argv[2] out_img_dir = sys.argv[3] out_anno_dir = sys.argv[4] if not os.path.exists(out_img_dir): os.makedirs(out_img_dir) if not os.path.exists(out_anno_dir): os.makedirs(out_anno_dir) print("img_dir : ",img_dir) print("anno_dir : ",anno_dir) print("out_img_dir : ",out_img_dir) print("out_anno_dir : ",out_anno_dir) img_paths = get_image_paths(img_dir) anno_paths = get_anno_paths(anno_dir) for img_path,img_name in tqdm(zip(img_paths,img_paths)): h,w,_ = get_img_size(img_path) new_h,new_w,_ = get_img_size(os.path.join(anno_dir,img_name)) img_name_new = os.path.splitext(os.path.basename(img_path))[0]+".jpg" # if not os.path.exists(os.path.join(out_img_dir,img_name_new)): img_new = load_image(img_path) img_new_resized = resize_img(img_new,new_h,new_w) save_image(out_img_dir,img_name_new,img_new_resized) for anno_path,img_name in tqdm(zip(anno_paths,img_paths)): h,w,_ = get_img_size(anno_path) new_h,new_w,_= get_img_size(os.path.join(img_dir,img_name)) img_name_new = os.path.splitext(os.path.basename(anno_path))[0]+".png" mask_bodyparts_allparts_person1bodypartssimple_person1personsimple_person1personsimple_holefixer= read_mask(anno_path) mask_bodyparts_allparts_person1bodypartssimple_person1personsimple_person1personsimple_holefixer_resized= resize_mask(mask_bodyparts_allparts_person1bodypartssimple_person1personsimple_person1personsimple_holefixer,new_h,new_w) save_image(out_anno_dir,img_name_new,np.array(mask_bodyparts_allparts_person1bodypartssimple_person1personsimple_person1personsimple_holefixer_resized)) <|repo_name|>stefanhuber1998/HR-Net<|file_sep|>/data/make_mscoco.py import os import os.path import json import random import shutil import numpy as np from PIL import Image from pycocotools.coco import COCO from pycocotools.cocoeval import COCOeval from pycocotools import mask as maskUtils import sys if __name__ == '__main__': # read data path from arguments src_data_root= sys.argv[1] out_data_root= sys.argv[2] <|repo_name|>mzadeem/L