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')