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brianwillis
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jpatokal
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#!/usr/bin/env python
import numpy as np
import os
import sys
from utils.params_constants import *
from image_segmentation.config import cfg
from image_segmentation.utils import crop_img, is_valid_path
def run(args):
if is_valid_path(args.image):
# load the image from file system
input_file = os.path.join(args.image, "image.png")
# transform the image to correct size
if cfg.target == "caffemodel":
# convert image to PIL format
input_file = np.array(PIL.Image.open(input_file).convert("RGB"), dtype="uint8")
# downscale to 512 pixels per dimension
input_file = input_file.astype("float32") / 255.0
# adjust bounding box for the input shape
input_file[:3, 3] = 0.5
input_file = np.pad(input_file, [[0, 0], [0, 0], [0, 0]], "constant")
else:
# convert image to Numpy format
input_file = np.array(PIL.Image.open(input_file). 0b46394aab
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