diff --git a/Images/Annotated/augment.py b/Images/Annotated/augment.py new file mode 100644 index 0000000000000000000000000000000000000000..6983b93ce831d7516bce0d82a569634b910a14e7 --- /dev/null +++ b/Images/Annotated/augment.py @@ -0,0 +1,90 @@ +import imgaug as ia +from imgaug import augmenters as iaa +import numpy as np +import cv2 +from pascal_voc_writer import Writer +import xml.etree.ElementTree as ET +import glob +from util import sequence_simple, sequence_resize +from util import annotation as an +import shutil +import sys + +INPUT_DIR = './images' +OUTPUT_DIR = './augmented' +AUGMENT_SIZE = 10 + + +def main(): + global INPUT_DIR + for classname in glob.glob(INPUT_DIR + "/"): + print(classname) + INPUT_DIR = classname + print(OUTPUT_DIR) + + for file in glob.glob('%s/*.xml' % INPUT_DIR): + print('Augmenting %s ...' % file) + annotation = an.parse_xml(file) + augment(annotation) + + for file in glob.glob('%s/*.xml' % OUTPUT_DIR): + an.inspect(file) + + +def augment(annotation): + seq = sequence_resize.get() + + for i in range(AUGMENT_SIZE): + filename = annotation['filename'] + sp = filename.split('.') + outfile = '%s/%s-%02d.%s' % (OUTPUT_DIR, sp[0], i, sp[-1]) + + print("++INFO++") + print(outfile) + print("++INFO++") + + + seq_det = seq.to_deterministic() + + print("===") + print(INPUT_DIR) + print(annotation['filename']) + print("===") + + image = cv2.imread('%s/%s' % (INPUT_DIR, annotation['filename'])) + _bbs = [] + for obj in annotation['objects']: + bb = ia.BoundingBox(x1=int(obj['xmin']), + y1=int(obj['ymin']), + x2=int(obj['xmax']), + y2=int(obj['ymax']), + label=obj['name']) + _bbs.append(bb) + + bbs = ia.BoundingBoxesOnImage(_bbs, shape=image.shape) + + image_aug = seq_det.augment_images([image])[0] + bbs_aug = seq_det.augment_bounding_boxes( + [bbs])[0].remove_out_of_image().cut_out_of_image() + + writer = Writer(outfile, + annotation['size']['width'], + annotation['size']['height']) + for bb in bbs_aug.bounding_boxes: + if int((bb.x2-bb.x1)*(bb.y2-bb.y1)) == 0: + print("augmentet boundingbox has non existing area. Skipping") + continue + writer.addObject(bb.label, + int(bb.x1), + int(bb.y1), + int(bb.x2), + int(bb.y2)) + + print(outfile) + cv2.imwrite(outfile, image_aug) + writer.save('%s.xml' % outfile[:-4]) + # writer.save('%s.xml' % outfile.split('.')[0]) + + +if __name__ == '__main__': + main() diff --git a/Images/Annotated/augmented/049b1e2c-IMG_20191210_165339-00.jpg b/Images/Annotated/augmented/049b1e2c-IMG_20191210_165339-00.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a73310e15131b2647e2685ff96c72e92a38f0fe5 Binary files /dev/null and b/Images/Annotated/augmented/049b1e2c-IMG_20191210_165339-00.jpg differ diff --git a/Images/Annotated/augmented/049b1e2c-IMG_20191210_165339-00.xml b/Images/Annotated/augmented/049b1e2c-IMG_20191210_165339-00.xml new file mode 100644 index 0000000000000000000000000000000000000000..8a9c3f680b2f1bfa17193dfd6fe05f9f5a593d50 --- /dev/null +++ b/Images/Annotated/augmented/049b1e2c-IMG_20191210_165339-00.xml @@ -0,0 +1,939 @@ + + 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df_cate = pd.DataFrame(f['categories']) + _ = df_cate.sort_values(["id"],ascending=True) + df_anno = pd.DataFrame(f['annotations']) + categories = dict(zip(df_cate.id.values, df_cate.name.values)) + + for i in tqdm(range(len(imgs))): + xml_content = [] + file_name = imgs[i]['file_name'] + height = imgs[i]['height'] + img_id = imgs[i]['id'] + width = imgs[i]['width'] + + if(rgb_img == "True"): depth=3 + else: depth=1 + + # print(depth) + + xml_content.append("") + xml_content.append(" VOC2007") + xml_content.append(" "+file_name+"") + xml_content.append(" ") + xml_content.append(" "+str(width)+"") + xml_content.append(" "+str(height)+"") + xml_content.append(" "+str(depth)+"") + xml_content.append(" ") + xml_content.append(" 0") + + annos = df_anno[df_anno["image_id"].isin([img_id])] + + for index, row in annos.iterrows(): + bbox = row["bbox"] + category_id = row["category_id"] + cate_name = categories[category_id] + + + xml_content.append(" ") + xml_content.append(" "+cate_name+"") + xml_content.append(" Unspecified") + xml_content.append(" 0") + xml_content.append(" 0") + xml_content.append(" ") + xml_content.append(" "+str(int(bbox[0]))+"") + xml_content.append(" "+str(int(bbox[1]))+"") + xml_content.append(" "+str(int(bbox[0]+bbox[2]))+"") + xml_content.append(" "+str(int(bbox[1]+bbox[3]))+"") + xml_content.append(" ") + xml_content.append(" ") + xml_content.append("") + + x = xml_content + xml_content=[x[i] for i in range(0,len(x)) if x[i]!="\n"] + + + xml_path = os.path.join(xml_dir,file_name.split('.')[-2] + '.xml') + + with open(xml_path, 'w+',encoding="utf8") as f: + f.write('\n'.join(xml_content)) + xml_content[:]=[] + + +if __name__ == '__main__': + parser = argparse.ArgumentParser(description="convert coco .json annotation to voc .xml annotation") + + parser.add_argument('--json_path',type=str, help='path to json file.', default="./annotations/train.json") + parser.add_argument('--rgb_img', type=str, help='True if image in rgb', default="True") + parser.add_argument('--output',type = str, help='path to output xml files.',default="./images") + + args = parser.parse_args() + + if not os.path.exists(args.output): + os.mkdir(args.output) + coco2voc(args.json_path, args.output, args.rgb_img) \ No newline at end of file diff --git a/Images/Annotated/images/049b1e2c-IMG_20191210_165339.jpg b/Images/Annotated/images/049b1e2c-IMG_20191210_165339.jpg new file mode 100644 index 0000000000000000000000000000000000000000..17c5d2d3e5aea8ca7bb8c160528cefcb36fa5dbd Binary files /dev/null and b/Images/Annotated/images/049b1e2c-IMG_20191210_165339.jpg differ diff --git a/Images/Annotated/images/049b1e2c-IMG_20191210_165339.xml b/Images/Annotated/images/049b1e2c-IMG_20191210_165339.xml new file mode 100644 index 0000000000000000000000000000000000000000..4a14d744eb4c116731687dbd61829ee75a41aeef --- /dev/null +++ b/Images/Annotated/images/049b1e2c-IMG_20191210_165339.xml @@ -0,0 +1,1234 @@ + + VOC2007 + 049b1e2c-IMG_20191210_165339.jpg + + 2794 + 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a/Images/Annotated/util/__pycache__/sequence_resize.cpython-38.pyc b/Images/Annotated/util/__pycache__/sequence_resize.cpython-38.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a7b1d2d9f76d3724d6b01fe5505381868a35968f Binary files /dev/null and b/Images/Annotated/util/__pycache__/sequence_resize.cpython-38.pyc differ diff --git a/Images/Annotated/util/__pycache__/sequence_simple.cpython-38.pyc b/Images/Annotated/util/__pycache__/sequence_simple.cpython-38.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e7b37751edd087a8e40c654c3ff2837d0aab629f Binary files /dev/null and b/Images/Annotated/util/__pycache__/sequence_simple.cpython-38.pyc differ diff --git a/Images/Annotated/util/annotation.py b/Images/Annotated/util/annotation.py new file mode 100644 index 0000000000000000000000000000000000000000..74e36f0e95790a35d308a1302ecdfcecdc69e17e --- /dev/null +++ b/Images/Annotated/util/annotation.py @@ -0,0 +1,42 @@ +import imgaug as ia +from imgaug import augmenters as iaa +import numpy as np +import xml.etree.ElementTree as ET +import glob +import shutil + +EMPTY_DIR = 'empty' + + +def parse_xml(filename): + tree = ET.parse(filename) + elem = tree.getroot() + result = { + 'filename': elem.find('.//filename').text, + 'size': { + 'width': elem.find('.//size/width').text, + 'height': elem.find('.//size/height').text, + 'depth': elem.find('.//size/depth').text, + }, + 'objects': [] + } + + for e in elem.findall('.//object'): + obj = { + 'name': e.find('.//name').text, + 'xmin': e.find('.//bndbox/xmin').text, + 'ymin': e.find('.//bndbox/ymin').text, + 'xmax': e.find('.//bndbox/xmax').text, + 'ymax': e.find('.//bndbox/ymax').text + } + result['objects'].append(obj) + + return result + + +def inspect(filename): + annotation = parse_xml(filename) + + if len(annotation['objects']) == 0: + print('Empty annotation file %s is moved.' % filename) + shutil.move(filename, EMPTY_DIR) diff --git a/Images/Annotated/util/sequence.py b/Images/Annotated/util/sequence.py new file mode 100644 index 0000000000000000000000000000000000000000..857e44019b0ae75cb17baf4930c471ef28db9c8f --- /dev/null +++ b/Images/Annotated/util/sequence.py @@ -0,0 +1,98 @@ +import imgaug as ia +from imgaug import augmenters as iaa + + +def get(): + def sometimes(aug): return iaa.Sometimes(0.5, aug) + + return iaa.Sequential( + [ + # apply the following augmenters to most images + iaa.Fliplr(0.5), # horizontally flip 50% of all images + iaa.Flipud(0.2), # vertically flip 20% of all images + # crop images by -5% to 10% of their height/width + sometimes(iaa.CropAndPad( + percent=(-0.05, 0.1), + pad_mode=ia.ALL, + pad_cval=(0, 255) + )), + sometimes(iaa.Affine( + # scale images to 80-120% of their size, individually per axis + scale={'x': (0.8, 1.2), 'y': (0.8, 1.2)}, + # translate by -20 to +20 percent (per axis) + translate_percent={'x': (-0.2, 0.2), 'y': (-0.2, 0.2)}, + rotate=(-45, 45), # rotate by -45 to +45 degrees + shear=(-16, 16), # shear by -16 to +16 degrees + # use nearest neighbour or bilinear interpolation (fast) + order=[0, 1], + # if mode is constant, use a cval between 0 and 255 + cval=(0, 255), + # use any of scikit-image's warping modes (see 2nd image from the top for examples) + mode=ia.ALL + )), + # execute 0 to 5 of the following (less important) augmenters per image + # don't execute all of them, as that would often be way too strong + iaa.SomeOf((0, 5), + [ + # convert images into their superpixel representation + sometimes(iaa.Superpixels( + p_replace=(0, 1.0), n_segments=(20, 200))), + iaa.OneOf([ + # blur images with a sigma between 0 and 3.0 + iaa.GaussianBlur((0, 3.0)), + # blur image using local means with kernel sizes between 2 and 7 + iaa.AverageBlur(k=(2, 7)), + # blur image using local medians with kernel sizes between 2 and 7 + iaa.MedianBlur(k=(3, 11)), + ]), + iaa.Sharpen(alpha=(0, 1.0), lightness=( + 0.75, 1.5)), # sharpen images + iaa.Emboss(alpha=(0, 1.0), strength=( + 0, 2.0)), # emboss images + # search either for all edges or for directed edges, + # blend the result with the original image using a blobby mask + iaa.SimplexNoiseAlpha(iaa.OneOf([ + iaa.EdgeDetect(alpha=(0.5, 1.0)), + iaa.DirectedEdgeDetect( + alpha=(0.5, 1.0), direction=(0.0, 1.0)), + ])), + # add gaussian noise to images + iaa.AdditiveGaussianNoise(loc=0, scale=( + 0.0, 0.05*255), per_channel=0.5), + iaa.OneOf([ + # randomly remove up to 10% of the pixels + iaa.Dropout((0.01, 0.1), per_channel=0.5), + iaa.CoarseDropout((0.03, 0.15), size_percent=( + 0.02, 0.05), per_channel=0.2), + ]), + # invert color channels + iaa.Invert(0.05, per_channel=True), + # change brightness of images (by -10 to 10 of original value) + iaa.Add((-10, 10), per_channel=0.5), + # change hue and saturation + iaa.AddToHueAndSaturation((-20, 20)), + # either change the brightness of the whole image (sometimes + # per channel) or change the brightness of subareas + iaa.OneOf([ + iaa.Multiply((0.5, 1.5), per_channel=0.5), + iaa.FrequencyNoiseAlpha( + exponent=(-4, 0), + first=iaa.Multiply((0.5, 1.5), per_channel=True), + second=iaa.ContrastNormalization((0.5, 2.0)) + ) + ]), + # improve or worsen the contrast + iaa.ContrastNormalization((0.5, 2.0), per_channel=0.5), + iaa.Grayscale(alpha=(0.0, 1.0)), + # move pixels locally around (with random strengths) + sometimes(iaa.ElasticTransformation( + alpha=(0.5, 3.5), sigma=0.25)), + # sometimes move parts of the image around + sometimes(iaa.PiecewiseAffine(scale=(0.01, 0.05))), + sometimes(iaa.PerspectiveTransform(scale=(0.01, 0.1))) + ], + random_order=True + ) + ], + random_order=False + ) diff --git a/Images/Annotated/util/sequence_resize.py b/Images/Annotated/util/sequence_resize.py new file mode 100644 index 0000000000000000000000000000000000000000..46ebd8d501c4a43587d6807b54e140ee2bfaf46f --- /dev/null +++ b/Images/Annotated/util/sequence_resize.py @@ -0,0 +1,33 @@ +import imgaug as ia +from imgaug import augmenters as iaa + + +def get(): + def sometimes(aug): return iaa.Sometimes(0.5, aug) + + return iaa.Sequential( + [ + iaa.PadToSquare(position='center'), + # iaa.Fliplr(0.5), # horizontal flips + + # sometimes(iaa.Multiply((0.8, 1.2), per_channel=0.2),), + # sometimes(iaa.Add((-10, 10), per_channel=0.5)), # change brightness of images (by -10 to 10 of original value) + # sometimes(iaa.AddToHueAndSaturation((-20, 20))), # change hue and saturation + + sometimes(iaa.AddToBrightness((-30, 30))), + sometimes(iaa.LinearContrast((0.75, 1.5))), # Strengthen or weaken the contrast in each image. + + sometimes(iaa.CropAndPad( + percent=(-0.05, 0.1), + pad_mode=ia.ALL, + pad_cval=(0, 255) + )), + sometimes(iaa.Affine( + scale={"x": (0.8, 1.2), "y": (0.8, 1.2)}, + translate_percent={"x": (-0.2, 0.2), "y": (-0.2, 0.2)}, + rotate=(-15, 15) + )), + iaa.Resize({"height": 1024, "width": 1024}) + ], + random_order=False + ) diff --git a/Images/Annotated/util/sequence_simple.py b/Images/Annotated/util/sequence_simple.py new file mode 100644 index 0000000000000000000000000000000000000000..61741eec038c719b059b4b943716a13f9e963546 --- /dev/null +++ b/Images/Annotated/util/sequence_simple.py @@ -0,0 +1,46 @@ +import imgaug as ia +from imgaug import augmenters as iaa + + +def get(): + def sometimes(aug): return iaa.Sometimes(0.5, aug) + + return iaa.Sequential( + [ + iaa.CropAndPad( + percent=(-0.1, 0.1), + pad_mode=ia.ALL, + pad_cval=(0, 255), + ), + iaa.Fliplr(0.5), # horizontal flips + iaa.Crop(percent=(0, 0.1)), # random crops + # Small gaussian blur with random sigma between 0 and 0.5. + # But we only blur about 50% of all images. + iaa.Sometimes( + 0.5, + iaa.GaussianBlur(sigma=(0, 0.5)) + ), + # Strengthen or weaken the contrast in each image. + iaa.LinearContrast((0.75, 1.5)), + # Add gaussian noise. + # For 50% of all images, we sample the noise once per pixel. + # For the other 50% of all images, we sample the noise per pixel AND + # channel. 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