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display_results.py
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display_results.py
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import numpy as np
import pandas as pd
import setting
import extracting_data
import os
import moviepy.editor as mpy
import helper_functions
P_MALIG = 0.4
def make_gifs(image_path = setting.TRAINING_SET , csv_src_path=os.path.join(setting.DATA_PATH,'test'), color_intensity=1000, color='red'):
images = extracting_data.load_patient(image_path)
Patient_IDs = os.listdir(image_path)
for ID in Patient_IDs:
images_list = list()
image = extracting_data.get_pixel_hu(images[ID])
image , _ = extracting_data.resample(images[ID],image)
image = helper_functions.normalize_hu(image)
df = pd.read_csv(os.path.join(csv_src_path,ID+'.csv'))
prob_map = np.zeros(image.shape)
for _ , info in df.iterrows():
coord_z = int(info['nodule_z'])
coord_y = int(info['nodule_y'])
coord_x = int(info['nodule_x'])
prob_map[coord_z-20:coord_z+20,coord_y-10:coord_y+10,coord_x-10:coord_x+10] = float(info["Diagnosis"])*color_intensity
color_filter = image + prob_map
for i in range(image.shape[0]):
images_array = np.zeros((image.shape[2], image.shape[1], 3))
if color == "blue":
image0 = image[i,:,:]
image1 = image[i,:,:]
image2 = color_filter[i,:,:]
elif color == "red":
image2 = image[i,:,:]
image1 = image[i,:,:]
image0 = color_filter[i,:,:]
elif color == "green":
image0 = image[i,:,:]
image2 = image[i,:,:]
image1 = color_filter[i,:,:]
images_array[:,:,0] = image0
images_array[:,:,1] = image1
images_array[:,:,2] = image2
images_list.append(images_array)
my_clip = mpy.ImageSequenceClip(images_list,fps=10)
my_clip.write_gif(os.path.join(setting.MAIN_DIRECTORY,ID+'.gif'),fps=10)