From 6298c177bb08490271c9734d874cf362ba442332 Mon Sep 17 00:00:00 2001 From: raphael Date: Mon, 16 Aug 2021 16:32:21 +0200 Subject: [PATCH] adds generator script for cvat data --- coco_cvat_gen.py | 72 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 72 insertions(+) create mode 100644 coco_cvat_gen.py diff --git a/coco_cvat_gen.py b/coco_cvat_gen.py new file mode 100644 index 0000000..ccc867e --- /dev/null +++ b/coco_cvat_gen.py @@ -0,0 +1,72 @@ +import json, os +import matplotlib.pyplot as plt +import numpy as np + +from PIL import Image + +no_label = 0 +small = 0 +passed = 0 +count = 0 + + + +print("loading coco annotations...") +coco = json.load(open('./coco/annotations/instances_default.json')) +print("done") + +def findAnnotationName(annotationId): + for c in coco['categories']: + if c['id'] == annotationId: + return c['name'] + +def findAnnotationToId(ident): + for annotation in coco['annotations']: + img_an = annotation['image_id'] + if img_an == ident: + return annotation + +def show(pil, pause=0.2): + ImageNumpyFormat = np.asarray(pil) + plt.imshow(ImageNumpyFormat) + plt.draw() + plt.pause(pause) # pause how many seconds + plt.close() + + +def parseImage(coImg): + global no_label, small, passed, coco + # open image file + + path = "coco/roto_frank/images/" + coImg['file_name'].split('/')[4] + img = Image.open(path) + + an = findAnnotationToId(coImg['id']) + if an == None: + no_label += 1 + return + + c = an['bbox'] + crop = img.crop((c[0], c[1], c[0]+c[2], c[1]+c[3])) + + if crop.width < 64 or crop.height < 64: + small += 1 + return + + imagePath = f"classified_roto/{findAnnotationName(an['category_id'])}/{an['id']}.png" + os.makedirs(os.path.dirname(imagePath), exist_ok=True) + crop.save(imagePath) + passed += 1 + +if __name__ == "__main__": + + for coImg in coco['images']: + parseImage(coImg) + count += 1 + if count % 100 == 0: + print("status:") + print(f"no labels: {no_label}") + print(f"to small: {small}") + print(f"passed: {passed}") + print("-----") +