utils.writeErrToScreen('renderErrs', renderErrs, epoch, j)
utils.writeErrToScreen('renderGtErrs', renderGtErrs, epoch, j)
utils.writeErrToFile('directErrs', directErrs, testingLog, epoch, j)
utils.writeErrToFile('globalIllu2', globalIllu2Errs, testingLog, epoch, j)
utils.writeErrToFile('globalIllu3', globalIllu3Errs, testingLog, epoch, j)
utils.writeErrToFile('renderErrs', renderErrs, testingLog, epoch, j)
utils.writeErrToFile('renderGtErrs', renderGtErrs, testingLog, epoch, j)
directErrsNpList = np.concatenate( [directErrsNpList, utils.turnErrorIntoNumpy(directErrs) ], axis=0)
globalIllu2ErrsNpList = np.concatenate( [globalIllu2ErrsNpList, utils.turnErrorIntoNumpy(globalIllu2Errs)], axis=0)
globalIllu3ErrsNpList = np.concatenate( [globalIllu3ErrsNpList, utils.turnErrorIntoNumpy(globalIllu3Errs)], axis=0)
renderErrsNpList = np.concatenate( [renderErrsNpList, utils.turnErrorIntoNumpy(renderErrs)], axis=0 )
renderGtErrsNpList = np.concatenate( [renderGtErrsNpList, utils.turnErrorIntoNumpy(renderGtErrs)], axis=0 )
utils.writeNpErrToScreen('globalIllu2_Accu:', np.mean(globalIllu2ErrsNpList[1:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('globalIllu3_Accu:', np.mean(globalIllu3ErrsNpList[1:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('directErrs_Accu:', np.mean(directErrsNpList[1:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('renderErrs_Accu:', np.mean(renderErrsNpList[1:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('renderGtErrs_Accu:', np.mean(renderGtErrsNpList[1:j+1, :], axis=0), epoch, j)
utils.writeNpErrToFile('globalIllu2_Accu:', np.mean(globalIllu2ErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j)
utils.writeNpErrToFile('globalIllu3_Accu:', np.mean(globalIllu3ErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j)
utils.writeNpErrToFile('directErrs_Accu:', np.mean(directErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j)
utils.writeNpErrToFile('renderErrs_Accu:', np.mean(renderErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j)
utils.writeNpErrToFile('renderGtErrs_Accu:', np.mean(renderGtErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j)
if j == 1 or j % 2000 == 0:
# Save the ground truth and the input
vutils.save_image( (0.5*(albedoBatch + 1)*segBatch.expand_as(albedoBatch) ).data,
utils.turnErrorIntoNumpy(pointErrs)], axis=0)
normalErrsNpList = np.concatenate(
[normalErrsNpList,
utils.turnErrorIntoNumpy(normalErrs)], axis=0)
meanAngleErrsNpList = np.concatenate(
[meanAngleErrsNpList,
utils.turnErrorIntoNumpy(meanAngleErrs)],
axis=0)
medianAngleErrsNpList = np.concatenate(
[medianAngleErrsNpList,
utils.turnErrorIntoNumpy(medianAngleErrs)],
axis=0)
if j < 1000:
utils.writeNpErrToScreen(
'pointAccu', np.mean(pointErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'normalAccu', np.mean(normalErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'meanAngleAccu',
np.mean(meanAngleErrsNpList[1:j + 1, :], axis=0), epoch, j)
utils.writeNpErrToScreen(
'medianAngleAccu',
np.mean(medianAngleErrsNpList[1:j + 1, :], axis=0), epoch, j)
utils.writeNpErrToFile(
'pointAccu', np.mean(pointErrsNpList[1:j + 1, :], axis=0),
trainingLog, epoch, j)
utils.writeNpErrToFile(
[normalErrsNpList,
utils.turnErrorIntoNumpy(normalErrs)], axis=0)
roughErrsNpList = np.concatenate(
[roughErrsNpList,
utils.turnErrorIntoNumpy(roughErrs)], axis=0)
depthErrsNpList = np.concatenate(
[depthErrsNpList,
utils.turnErrorIntoNumpy(depthErrs)], axis=0)
globalIllu1ErrsNpList = np.concatenate(
[globalIllu1ErrsNpList,
utils.turnErrorIntoNumpy(globalIllu1Errs)],
axis=0)
if j < 1000:
utils.writeNpErrToScreen(
'albedoAccu', np.mean(albedoErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'normalAccu', np.mean(normalErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'roughAccu', np.mean(roughErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'depthAccu', np.mean(depthErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'globalIllu1Accu',
np.mean(globalIllu1ErrsNpList[1:j + 1, :], axis=0), epoch, j)
utils.writeNpErrToFile(
'albedoAccu', np.mean(albedoErrsNpList[1:j + 1, :], axis=0),
[globalIllu2ErrsNpList,
utils.turnErrorIntoNumpy(globalIllu2Errs)],
axis=0)
globalIllu3ErrsNpList = np.concatenate(
[globalIllu3ErrsNpList,
utils.turnErrorIntoNumpy(globalIllu3Errs)],
axis=0)
imgEnvErrsNpList = np.concatenate(
[imgEnvErrsNpList,
utils.turnErrorIntoNumpy(imgEnvErrs)], axis=0)
envErrsNpList = np.concatenate(
[envErrsNpList, utils.turnErrorIntoNumpy(envErrs)], axis=0)
utils.writeNpErrToScreen('albedoAccu',
np.mean(albedoErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen('normalAccu',
np.mean(normalErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen('roughAccu',
np.mean(roughErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen('depthAccu',
np.mean(depthErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'globalIllu1Accu', np.mean(globalIllu1ErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
utils.writeErrToFile('globalIllu2', globalIllu2Errs, trainingLog,
epoch, j)
utils.writeErrToFile('globalIllu3', globalIllu3Errs, trainingLog,
epoch, j)
globalIllu2ErrsNpList = np.concatenate(
[globalIllu2ErrsNpList,
utils.turnErrorIntoNumpy(globalIllu2Errs)],
axis=0)
globalIllu3ErrsNpList = np.concatenate(
[globalIllu3ErrsNpList,
utils.turnErrorIntoNumpy(globalIllu3Errs)],
axis=0)
if j < 1000:
utils.writeNpErrToScreen(
'globalIllu2_Accu:',
np.mean(globalIllu2ErrsNpList[1:j + 1, :], axis=0), epoch, j)
utils.writeNpErrToScreen(
'globalIllu3_Accu',
np.mean(globalIllu3ErrsNpList[1:j + 1, :], axis=0), epoch, j)
utils.writeNpErrToFile(
'globalIllu2_Accu',
np.mean(globalIllu2ErrsNpList[1:j + 1, :], axis=0),
trainingLog, epoch, j)
utils.writeNpErrToFile(
'globalIllu3_Accu',
np.mean(globalIllu3ErrsNpList[1:j + 1, :], axis=0),
trainingLog, epoch, j)
else:
utils.writeNpErrToScreen(
'globalIllu2_Accu',
utils.writeErrToScreen('normal', [normalErr], epoch, j )
utils.writeErrToScreen('rough', [roughErr], epoch, j)
utils.writeErrToScreen('depth', [depthErr], epoch, j)
utils.writeErrToFile('albedo', [albedoErr], trainingLog, epoch, j)
utils.writeErrToFile('normal', [normalErr], trainingLog, epoch, j)
utils.writeErrToFile('rough', [roughErr], trainingLog, epoch, j)
utils.writeErrToFile('depth', [depthErr], trainingLog, epoch, j)
albedoErrsNpList = np.concatenate( [albedoErrsNpList, utils.turnErrorIntoNumpy( [albedoErr] )], axis=0)
normalErrsNpList = np.concatenate( [normalErrsNpList, utils.turnErrorIntoNumpy( [normalErr] )], axis=0)
roughErrsNpList = np.concatenate( [roughErrsNpList, utils.turnErrorIntoNumpy( [roughErr] )], axis=0)
depthErrsNpList = np.concatenate( [depthErrsNpList, utils.turnErrorIntoNumpy( [depthErr] )], axis=0)
if j < 1000:
utils.writeNpErrToScreen('albedoAccu', np.mean(albedoErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('normalAccu', np.mean(normalErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('roughAccu', np.mean(roughErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('depthAccu', np.mean(depthErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToFile('albedoAccu', np.mean(albedoErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('normalAccu', np.mean(normalErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('roughAccu', np.mean(roughErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('depthAccu', np.mean(depthErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
else:
utils.writeNpErrToScreen('albedoAccu', np.mean(albedoErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('normalAccu', np.mean(normalErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('roughAccu', np.mean(roughErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('depthAccu', np.mean(depthErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToFile('albedoAccu', np.mean(albedoErrsNpList[j-999:j+1, :], axis=0), trainingLog, epoch, j)
[normal2ErrsNpList,
utils.turnErrorIntoNumpy(normal2Errs)], axis=0)
medianAngle2ErrsNpList = np.concatenate(
[medianAngle2ErrsNpList,
utils.turnErrorIntoNumpy(medianAngle2Errs)],
axis=0)
meanAngle2ErrsNpList = np.concatenate(
[meanAngle2ErrsNpList,
utils.turnErrorIntoNumpy(meanAngle2Errs)],
axis=0)
renderedErrsNpList = np.concatenate(
[renderedErrsNpList,
utils.turnErrorIntoNumpy(renderedErrs)], axis=0)
utils.writeNpErrToScreen('normal1Accu',
np.mean(normal1ErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'medianAngle1Accu', np.mean(medianAngle1ErrsNpList[1:j + 1, :],
axis=0), epoch, j)
utils.writeNpErrToScreen('meanAngle1Accu',
np.mean(meanAngle1ErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen('normal2Accu',
np.mean(normal2ErrsNpList[1:j + 1, :], axis=0),
epoch, j)
utils.writeNpErrToScreen(
'medianAngle2Accu', np.mean(medianAngle2ErrsNpList[1:j + 1, :],
axis=0), epoch, j)
utils.writeNpErrToScreen('meanAngle2Accu',
np.mean(meanAngle2ErrsNpList[1:j + 1, :], axis=0),
utils.writeErrToScreen('normal', [normalErr], epoch, j)
utils.writeErrToScreen('rough', [roughErr], epoch, j)
utils.writeErrToScreen('depth', [depthErr], epoch, j)
utils.writeErrToFile('albedo', [albedoErr], trainingLog, epoch, j)
utils.writeErrToFile('normal', [normalErr], trainingLog, epoch, j)
utils.writeErrToFile('rough', [roughErr], trainingLog, epoch, j)
utils.writeErrToFile('depth', [depthErr], trainingLog, epoch, j)
albedoErrsNpList = np.concatenate( [albedoErrsNpList, utils.turnErrorIntoNumpy( [albedoErr] )], axis=0)
normalErrsNpList = np.concatenate( [normalErrsNpList, utils.turnErrorIntoNumpy( [normalErr] )], axis=0)
roughErrsNpList = np.concatenate( [roughErrsNpList, utils.turnErrorIntoNumpy( [roughErr] )], axis=0)
depthErrsNpList = np.concatenate( [depthErrsNpList, utils.turnErrorIntoNumpy( [depthErr] )], axis=0)
if j < 1000:
utils.writeNpErrToScreen('albedoAccu', np.mean(albedoErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('normalAccu', np.mean(normalErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('roughAccu', np.mean(roughErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('depthAccu', np.mean(depthErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToFile('albedoAccu', np.mean(albedoErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('normalAccu', np.mean(normalErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('roughAccu', np.mean(roughErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('depthAccu', np.mean(depthErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
else:
utils.writeNpErrToScreen('albedoAccu', np.mean(albedoErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('normalAccu', np.mean(normalErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('roughAccu', np.mean(roughErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToScreen('depthAccu', np.mean(depthErrsNpList[j-999:j+1, :], axis=0), epoch, j)
utils.writeNpErrToFile('albedoAccu', np.mean(albedoErrsNpList[j-999:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeErrToFile('rough', [roughErr], trainingLog, epoch, j)
utils.writeErrToFile('depth', [depthErr], trainingLog, epoch, j)
utils.writeErrToFile('reconstErrors', [reconstErr], trainingLog, epoch, j)
utils.writeErrToFile('renderErrors', [renderErr], trainingLog, epoch, j)
albedoErrsNpList = np.concatenate( [albedoErrsNpList, utils.turnErrorIntoNumpy( [albedoErr] )], axis=0)
normalErrsNpList = np.concatenate( [normalErrsNpList, utils.turnErrorIntoNumpy( [normalErr] )], axis=0)
roughErrsNpList = np.concatenate( [roughErrsNpList, utils.turnErrorIntoNumpy( [roughErr] )], axis=0)
depthErrsNpList = np.concatenate( [depthErrsNpList, utils.turnErrorIntoNumpy( [depthErr] )], axis=0)
reconstErrsNpList = np.concatenate( [reconstErrsNpList, utils.turnErrorIntoNumpy( [reconstErr] )], axis=0 )
renderErrsNpList = np.concatenate( [renderErrsNpList, utils.turnErrorIntoNumpy( [renderErr] )], axis=0 )
if j < 1000:
utils.writeNpErrToScreen('albedoAccu', np.mean(albedoErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('normalAccu', np.mean(normalErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('roughAccu', np.mean(roughErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('depthAccu', np.mean(depthErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('reconstAccu', np.mean(reconstErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToScreen('renderAccu', np.mean(renderErrsNpList[1:j+1, :], axis=0), epoch, j )
utils.writeNpErrToFile('albedoAccu', np.mean(albedoErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('normalAccu', np.mean(normalErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('roughAccu', np.mean(roughErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('depthAccu', np.mean(depthErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j)
utils.writeNpErrToFile('reconstAccu', np.mean(reconstErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j )
utils.writeNpErrToFile('renderAccu', np.mean(renderErrsNpList[1:j+1, :], axis=0), trainingLog, epoch, j )
else:
