├── data └── .keep ├── .gitignore ├── requirements.txt ├── out.txt ├── README.md ├── main.py └── LICENSE /data/.keep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | *.sublime* 2 | data/* -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | xmltodict 2 | Pillow -------------------------------------------------------------------------------- /out.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/giovannicimolin/PascalVOC-to-Images/HEAD/out.txt -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # PascalVOC-to-Images 2 | 3 | A small tool to create datasets from Pascal VOC images. 4 | I've used it to cut images with bounding boxes generated by LabelImg. 5 | 6 | ## How to use 7 | 8 | 1. Put your .xml and image files on data/ folder 9 | 2. Run python main.py 10 | 11 | ## Requirements 12 | 13 | * Run pip install -r requirements.txt 14 | -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | import glob 2 | import os 3 | import xmltodict 4 | import json 5 | import pprint 6 | 7 | from PIL import Image 8 | 9 | 10 | # Printing results 11 | pp = pprint.PrettyPrinter(indent=4) 12 | 13 | 14 | # Look for XML files and parses then as if they were Pascal VOC Files 15 | def process(): 16 | # Finds all XML files on data/ and append to list 17 | pascal_voc_contents = [] 18 | os.chdir("data") 19 | 20 | print("Found {} files in data directory!".format( 21 | str(len(glob.glob("*.xml"))))) 22 | for file in glob.glob("*.xml"): 23 | f_handle = open(file, 'r') 24 | print("Parsing file '{}'...".format(file)) 25 | pascal_voc_contents.append(xmltodict.parse(f_handle.read())) 26 | 27 | # Process each file individually 28 | for index in pascal_voc_contents: 29 | image_file = index['annotation']['filename'] 30 | # If there's a corresponding file in the folder, 31 | # process the images and save to output folder 32 | if os.path.isfile(image_file): 33 | extractDataset(index['annotation']) 34 | else: 35 | print("Image file '{}' not found, skipping file...".format(image_file)) 36 | 37 | 38 | # Extract image samples and save to output dir 39 | def extractDataset(dataset): 40 | print("Found {} objects on image '{}'...".format( 41 | len(dataset['object']), dataset['filename'])) 42 | 43 | # Open image and get ready to process 44 | img = Image.open(dataset['filename']) 45 | 46 | # Create output directory 47 | save_dir = dataset['filename'].split('.')[0] 48 | try: 49 | os.mkdir(save_dir) 50 | except: 51 | pass 52 | 53 | # Image counter 54 | i = 0 55 | 56 | # Run through each item and save cut image to output folder 57 | for item in dataset['object']: 58 | # Convert str to integers 59 | if len(dataset['object']) == 5: 60 | if item == 'bndbox': 61 | print(dataset['object'][item]) 62 | bndbox = dict([(a, int(b)) for (a, b) in dataset['object'][item].items()]) 63 | 64 | # Crop image 65 | im = img.crop((bndbox['xmin'], bndbox['ymin'], 66 | bndbox['xmax'], bndbox['ymax'])) 67 | 68 | # Image name preamble 69 | sample_preamble = save_dir + "/" + dataset['object']['name'].split('.')[0] + "_" 70 | 71 | # Save 72 | im.save(sample_preamble + str(i) + '.jpg') 73 | i = i + 1 74 | else: 75 | bndbox = dict([(a, int(b)) for (a, b) in item['bndbox'].items()]) 76 | # Crop image 77 | im = img.crop((bndbox['xmin'], bndbox['ymin'], 78 | bndbox['xmax'], bndbox['ymax'])) 79 | 80 | # Image name preamble 81 | sample_preamble = save_dir + "/" + item['name'].split('.')[0] + "_" 82 | 83 | # Save 84 | im.save(sample_preamble + str(i) + '.jpg') 85 | i = i + 1 86 | 87 | if __name__ == '__main__': 88 | print("\n------------------------------------") 89 | print("----- PascalVOC-to-Images v0.1 -----") 90 | print("Created by Giovanni Cimolin da Silva") 91 | print("------------------------------------\n") 92 | process() 93 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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