def get_data_from_frontend():
r = request.get_json()
json_text = r
with open("users.json", 'w', encoding='utf-8') as f:
json.dump(json_text, f, ensure_ascii=False, indent=4)
print(jsonify(reco.reco()))
return jsonify(reco.reco())
for quality in range(0, 101, 1):
subprocess.check_call('gm convert %s -quality %d %s' %
(ref_file, quality, dist_file),
shell=True)
file_size = os.path.getsize(dist_file)
dist = scipy.misc.imread(dist_file, flatten=True).astype(numpy.float32)
quality_values.append(quality)
size_values.append(int(file_size / 1024))
vifp_values.append(vifp.vifp_mscale(ref, dist))
ssim_values.append(ssim.ssim_exact(ref / 255, dist / 255))
psnr_values.append(psnr.psnr(ref, dist))
# niqe_values.append( niqe.niqe(dist/255) )
reco_values.append(reco.reco(ref / 255, dist / 255))
plt.plot(quality_values, vifp_values, label='VIFP')
plt.plot(quality_values, ssim_values, label='SSIM')
# plt.plot(niqe_values, label='NIQE')
plt.plot(quality_values, reco_values, label='RECO')
plt.plot(quality_values, numpy.asarray(psnr_values) / 100.0, label='PSNR/100')
plt.legend(loc='lower right')
plt.xlabel('JPEG Quality')
plt.ylabel('Metric')
plt.savefig('jpg_demo_quality.png')
plt.figure(figsize=(8, 8))
plt.plot(size_values, vifp_values, label='VIFP')
plt.plot(size_values, ssim_values, label='SSIM')
print "Frame=%d VIFP=%f SSIM=%f" % (frame_num, vifp_value, ssim_value)
frame_num += 1
else:
# Inputs are image files
ref = scipy.misc.imread(ref_file, flatten=True).astype(numpy.float32)
dist = scipy.misc.imread(dist_file, flatten=True).astype(numpy.float32)
width, height = ref.shape[1], ref.shape[0]
print "Comparing %s to %s, resolution %d x %d" % (ref_file, dist_file,
width, height)
vifp_value = vifp.vifp_mscale(ref, dist)
print "VIFP=%f" % (vifp_value)
ssim_value = ssim.ssim_exact(ref / 255, dist / 255)
print "SSIM=%f" % (ssim_value)
# FIXME this is buggy, disable for now
# ssim_value2 = ssim.ssim(ref/255, dist/255)
# print "SSIM approx=%f" % (ssim_value2)
psnr_value = psnr.psnr(ref, dist)
print "PSNR=%f" % (psnr_value)
# niqe_value = niqe.niqe(dist/255)
# print "NIQE=%f" % (niqe_value)
reco_value = reco.reco(ref / 255, dist / 255)
print "RECO=%f" % (reco_value)
ssim_value = ssim.ssim(ref, dist)
print "Frame=%d VIFP=%f SSIM=%f" % (frame_num, vifp_value, ssim_value)
frame_num += 1
else:
# Inputs are image files
ref = scipy.misc.imread(ref_file, flatten=True).astype(numpy.float32)
dist = scipy.misc.imread(dist_file, flatten=True).astype(numpy.float32)
width, height = ref.shape[1], ref.shape[0]
print "Comparing %s to %s, resolution %d x %d" % (ref_file, dist_file, width, height)
vifp_value = vifp.vifp_mscale(ref, dist)
print "VIFP=%f" % (vifp_value)
ssim_value = ssim.ssim_exact(ref / 255, dist / 255)
print "SSIM=%f" % (ssim_value)
# FIXME this is buggy, disable for now
# ssim_value2 = ssim.ssim(ref/255, dist/255)
# print "SSIM approx=%f" % (ssim_value2)
psnr_value = psnr.psnr(ref, dist)
print "PSNR=%f" % (psnr_value)
# niqe_value = niqe.niqe(dist/255)
# print "NIQE=%f" % (niqe_value)
reco_value = reco.reco(ref / 255, dist / 255)
print "RECO=%f" % (reco_value)
plt.figure(figsize=(8, 8))
for quality in range(0, 101, 1):
subprocess.check_call('gm convert %s -quality %d %s'%(ref_file, quality, dist_file), shell=True)
file_size = os.path.getsize(dist_file)
dist = scipy.misc.imread(dist_file, flatten=True).astype(numpy.float32)
quality_values.append( quality )
size_values.append( int(file_size/1024) )
vifp_values.append( vifp.vifp_mscale(ref, dist) )
ssim_values.append( ssim.ssim_exact(ref/255, dist/255) )
psnr_values.append( psnr.psnr(ref, dist) )
# niqe_values.append( niqe.niqe(dist/255) )
reco_values.append( reco.reco(ref/255, dist/255) )
plt.plot(quality_values, vifp_values, label='VIFP')
plt.plot(quality_values, ssim_values, label='SSIM')
# plt.plot(niqe_values, label='NIQE')
plt.plot(quality_values, reco_values, label='RECO')
plt.plot(quality_values, numpy.asarray(psnr_values)/100.0, label='PSNR/100')
plt.legend(loc='lower right')
plt.xlabel('JPEG Quality')
plt.ylabel('Metric')
plt.savefig('jpg_demo_quality.png')
plt.figure(figsize=(8, 8))
plt.plot(size_values, vifp_values, label='VIFP')
plt.plot(size_values, ssim_values, label='SSIM')