def test_makeHDR():
import glob, time
inputs=sorted(glob.glob('data/ante0-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_ante0.png')
def test_makeHDR():
import glob, time
inputs=glob.glob('data/sea-*.png')
im_list = []
for inp in inputs:
im_list.append(io.imread(inp))
hdr=a5.makeHDR(im_list)
np.save('hdr', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale.png')
def test_makeHDR(file):
import glob
inputs=sorted(glob.glob('data/' + file + '-*.png'))
im_list = []
for inp in inputs:
im_list.append(io.imread(inp))
hdr=a5.makeHDR(im_list)
np.save('npy/'+file+'hdr', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, file+'_hdr_linear_scale.png')
def test_makeHDR_rest():
import glob, time
#Image 1
inputs=sorted(glob.glob('data/ante1-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr1', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_ante1.png')
#Image 2
inputs=sorted(glob.glob('data/ante3-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr3', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_ante3.png')
#Image 3
inputs=sorted(glob.glob('data/design-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr_design', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_design.png')
#Image 4
inputs=sorted(glob.glob('data/horse-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr_horse', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_horse.png')
#Image 5
inputs=sorted(glob.glob('data/sea-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr_sea', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_sea.png')
#Image 6
inputs=sorted(glob.glob('data/nyc-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr_nyc', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_nyc.png')
#Image 7
inputs=sorted(glob.glob('data/stairs-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr_stairs', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_stairs.png')
#Image 8
inputs=sorted(glob.glob('data/vine-*.png'))
p=multi.Pool(processes=8)
im_list=p.map(io.imread,inputs)
hdr=a5.makeHDR(im_list)
np.save('hdr_vine', hdr)
hdr_scale=hdr/max(hdr.flatten())
io.imwrite(hdr_scale, 'hdr_linear_scale_vine.png')
