def main(args):
image_dir = ir.get_image_dir()
color_space = ir.get_color_space()
image_paths = ir.get_image_files(image_dir)
images = [pil.open(img) for img in image_paths]
print("================ Task I ================")
task_I.median_cut_histogram(images, color_space)
print("================ Task II ================")
image, image_id = ir.get_image()
task_II.histogram_generator(image, image_id, color_space)
print("================ Task III ================")
image, image_id = ir.get_image()
task_III.dct_freq(image, image_id, color_space)
print("================ Task IV ================")
image, image_id = ir.get_image()
task_IV.do_task_4(image, image_id, color_space)
print("================ Task V ================")
image, image_id = ir.get_image()
task_V.do_task_5(image, image_id, color_space)
print("================ Task VI ================")
image, image_id = ir.get_image()
task_VI.dwt_freq(image, image_id, color_space)
print("================ Task VII ================")
response = batch_option()
if response == 'y':
batch_dir = ir.get_image_dir()
process_batch(batch_dir)
def query_region():
image, image_id = get_image()
width, height = image.size
new_height = int(ceil(height / 8))#cells in a column
new_width = int(ceil(width / 8))#cells in a row
print("================ Task II ================")
ihist = task_II.histogram_generator(image, image_id, color_space)
print("================ Task III ================")
idct = task_III.dct_freq(image, image_id, color_space)
print("================ Task IV ================")
iangle = task_IV.do_task_4(image, image_id, color_space)
print("================ Task V ================")
iamp = task_V.do_task_5(image, image_id, color_space)
print("================ Task VI ================")
idwt = task_VI.dwt_freq(image, image_id, color_space)
#retrieve cell_coord top left
coord = raw_input("Enter the coordinate ID for the top left cell in desired query region: ")
#retrieve 9 cells
qr = []
# this gets our <0,0> for the region
# row : if x coord > # of cells in (row - 2), then x(an index #)= row.length -3 (account for index = 0)
if coord % new_width >= (new_width - 2):
x = new_width - 3
else:
x = coord % new_width
if coord // new_height >= (new_height - 2):
y = new_height - 3
else:
y = coord // new_height
coord = x + new_width *y
for y in range (3):
for x in range (3):
qr.append(coord + x + (new_width * y)) #now we have a list of 3 x 3 coord_ids
#using general historgram spec from task one
histospec = get_histogram_spec()
#need to get features of SELECTED COORDINATE CELLS from the lists created above.
#each list above ids the coordinate by the index of the list item
#simply need to referecne the coordinate id to get from ea list above
cellinfo = []
for index, coord in qr:
cellinfoname = str(coord) #uniquely name the dictionary of features
cellinfoname = {'histogram': ihist[coord], 'dct': idct[coord], 'angle': iangle[coord], 'amplitude': iamp[coord], 'dwt': idwt[coord]}
cellinfo[index] = cellinfoname #should place a dictionary in each index of cellinfo