def extract_all_features(im):
"""
Given an image (as np tensor) extract several features
:param im: a np tensor 1x256x256x3
:return: lbp, rgb histogram, ycbcr histogram, ycbcr statistics, rgb statistics, sift descriptors and neural features
"""
im_copy = im.copy()
segmented_im, mask = Segmenter.segment_image(im_copy)
if np.sum(mask) == 0:
raise FeatureExtractionException()
rgb_hist = FeatureExtractor.extract_rgb_hist(segmented_im, mask)
ycbcr_hist = FeatureExtractor.extract_ycbcr_hist(segmented_im, mask)
neural = FeatureExtractor.extract_neural_features(im_copy)
lbp = FeatureExtractor.compute_LBP_rgb(segmented_im, mask)
ycbcr_statistics = FeatureExtractor.extract_statistics_ycbcr(segmented_im, mask)
rgb_statistics = FeatureExtractor.extract_statistics_rgb(segmented_im, mask)
sift_kp = FeatureExtractor.extract_sift_kp(segmented_im, mask)
if sift_kp is None or len(sift_kp.shape) == 0:
raise FeatureExtractionException()
return lbp, rgb_hist, ycbcr_hist, ycbcr_statistics, rgb_statistics, sift_kp, neural
