opPointNet.step()
utils.writeErrToScreen('point', pointErrs, epoch, j)
utils.writeErrToScreen('normal', normalErrs, epoch, j)
utils.writeErrToScreen('meanAngle', meanAngleErrs, epoch, j)
utils.writeErrToScreen('medianAngle', medianAngleErrs, epoch, j)
utils.writeErrToFile('point', pointErrs, trainingLog, epoch, j)
utils.writeErrToFile('normal', normalErrs, trainingLog, epoch, j)
utils.writeErrToFile('meanAngle', meanAngleErrs, trainingLog, epoch, j)
utils.writeErrToFile('medianAngle', medianAngleErrs, trainingLog,
epoch, j)
pointErrsNpList = np.concatenate(
[pointErrsNpList,
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),
utils.writeErrToScreen('imgEnv', imgEnvErrs, epoch, j)
utils.writeErrToScreen('env', envErrs, epoch, j)
utils.writeErrToFile('albedo', albedoErrs, testingLog, epoch, j)
utils.writeErrToFile('normal', normalErrs, testingLog, epoch, j)
utils.writeErrToFile('rough', roughErrs, testingLog, epoch, j)
utils.writeErrToFile('depth', depthErrs, testingLog, epoch, j)
utils.writeErrToFile('globalIllu1', globalIllu1Errs, testingLog, epoch, j)
utils.writeErrToFile('globalIllu2', globalIllu2Errs, testingLog, epoch, j)
utils.writeErrToFile('globalIllu3', globalIllu3Errs, testingLog, epoch, j)
utils.writeErrToFile('imgEnv', imgEnvErrs, testingLog, epoch, j)
utils.writeErrToFile('env', envErrs, testingLog, epoch, j)
albedoErrsNpList = np.concatenate(
[albedoErrsNpList,
utils.turnErrorIntoNumpy(albedoErrs)], axis=0)
normalErrsNpList = np.concatenate(
[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)
globalIllu2ErrsNpList = np.concatenate(
[globalIllu2ErrsNpList,
utils.turnErrorIntoNumpy(globalIllu2Errs)],
# Output testing error
utils.writeErrToScreen('directErrs', directErrs, epoch, j)
utils.writeErrToScreen('globalIllu2', globalIllu2Errs, epoch, j)
utils.writeErrToScreen('globalIllu3', globalIllu3Errs, epoch, j)
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.writeErrToScreen('globalIllu2', globalIllu2Errs, epoch, j)
utils.writeErrToScreen('globalIllu3', globalIllu3Errs, epoch, j)
utils.writeErrToScreen('imgEnv', imgEnvErrs, epoch, j)
utils.writeErrToScreen('env', envErrs, epoch, j)
utils.writeErrToFile('albedo', albedoErrs, trainingLog, epoch, j)
utils.writeErrToFile('normal', normalErrs, trainingLog, epoch, j)
utils.writeErrToFile('rough', roughErrs, trainingLog, epoch, j)
utils.writeErrToFile('depth', depthErrs, trainingLog, epoch, j)
utils.writeErrToFile('globalIllu1', globalIllu1Errs, trainingLog, epoch, j)
utils.writeErrToFile('globalIllu2', globalIllu2Errs, trainingLog, epoch, j)
utils.writeErrToFile('globalIllu3', globalIllu3Errs, trainingLog, epoch, j)
utils.writeErrToFile('imgEnv', imgEnvErrs, trainingLog, epoch, j)
utils.writeErrToFile('env', envErrs, trainingLog, epoch, j)
albedoErrsNpList = np.concatenate( [albedoErrsNpList, utils.turnErrorIntoNumpy(albedoErrs)], axis=0)
normalErrsNpList = np.concatenate( [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)
globalIllu2ErrsNpList = np.concatenate( [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)
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)
# Output training error
utils.writeErrToScreen('albedo', albedoErrs, epoch, j)
utils.writeErrToScreen('normal', normalErrs, epoch, j)
utils.writeErrToScreen('rough', roughErrs, epoch, j)
utils.writeErrToScreen('depth', depthErrs, epoch, j)
utils.writeErrToScreen('globalIllu1', globalIllu1Errs, epoch, j)
utils.writeErrToFile('albedo', albedoErrs, trainingLog, epoch, j)
utils.writeErrToFile('normal', normalErrs, trainingLog, epoch, j)
utils.writeErrToFile('rough', roughErrs, trainingLog, epoch, j)
utils.writeErrToFile('depth', depthErrs, trainingLog, epoch, j)
utils.writeErrToFile('globalIllu1', globalIllu1Errs, trainingLog,
epoch, j)
albedoErrsNpList = np.concatenate(
[albedoErrsNpList,
utils.turnErrorIntoNumpy(albedoErrs)], axis=0)
normalErrsNpList = np.concatenate(
[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:
totalErr = g2W * globalIllu2ErrSum + g3W * globalIllu3ErrSum
totalErr.backward()
opGlobalIllu1to2.step()
opGlobalIllu2to3.step()
# Output training error
utils.writeErrToScreen('globalIllu2', globalIllu2Errs, epoch, j)
utils.writeErrToScreen('globalIllu3', globalIllu3Errs, epoch, j)
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',
segAllBatch.expand_as(depthBatch)) / pixelAllNum)
# Output training error
utils.writeErrToScreen('albedo', albedoErrs, epoch, j)
utils.writeErrToScreen('normal', normalErrs, epoch, j)
utils.writeErrToScreen('rough', roughErrs, epoch, j)
utils.writeErrToScreen('depth', depthErrs, epoch, j)
utils.writeErrToFile('albedo', albedoErrs, testingLog, epoch, j)
utils.writeErrToFile('normal', normalErrs, testingLog, epoch, j)
utils.writeErrToFile('rough', roughErrs, testingLog, epoch, j)
utils.writeErrToFile('depth', depthErrs, testingLog, epoch, j)
albedoErrsNpList = np.concatenate(
[albedoErrsNpList,
utils.turnErrorIntoNumpy(albedoErrs)], axis=0)
normalErrsNpList = np.concatenate(
[normalErrsNpList,
utils.turnErrorIntoNumpy(normalErrs)], axis=0)
roughErrsNpList = np.concatenate(
[roughErrsNpList, utils.turnErrorIntoNumpy(roughErrs)], axis=0)
depthErrsNpList = np.concatenate(
[depthErrsNpList, utils.turnErrorIntoNumpy(depthErrs)], 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',
opNormal.step()
opRough.step()
opDepth.step()
# Output training error
utils.writeErrToScreen('albedo', [albedoErr], epoch, j )
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:
(medianAngle_gtToPred + medianAngle_predToGt))
utils.writeErrToScreen('point', pointErrs, epoch, j)
utils.writeErrToScreen('metro', metroErrs, epoch, j)
utils.writeErrToScreen('normal', normalErrs, epoch, j)
utils.writeErrToScreen('meanAngle', meanAngleErrs, epoch, j)
utils.writeErrToScreen('medianAngle', medianAngleErrs, epoch, j)
utils.writeErrToFile('point', pointErrs, testingLog, epoch, j)
utils.writeErrToFile('metro', metroErrs, testingLog, epoch, j)
utils.writeErrToFile('normal', normalErrs, testingLog, epoch, j)
utils.writeErrToFile('meanAngle', meanAngleErrs, testingLog, epoch, j)
utils.writeErrToFile('medianAngle', medianAngleErrs, testingLog, epoch, j)
pointErrsNpList = np.concatenate(
[pointErrsNpList, utils.turnErrorIntoNumpy(pointErrs)], axis=0)
metroErrsNpList = np.concatenate(
[metroErrsNpList, utils.turnErrorIntoNumpy(metroErrs)], 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)
utils.writeNpErrToScreen('pointAccu',
np.mean(pointErrsNpList[1:j + 1, :], axis=0),
opDepth.step()
# Output training error
utils.writeErrToScreen('albedo', [albedoErr], epoch, j)
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(
depthErrs.append( torch.sum( (torch.log(depthPreds[n] + 1e-3) - torch.log(depthBatch + 1e-3 ) )
* ( torch.log(depthPreds[n] + 1e-3 ) - torch.log(depthBatch + 1e-3 ) ) * segAllBatch.expand_as(depthBatch ) ) / pixelAllNum )
# Output testing error
utils.writeErrToScreen('albedo', albedoErrs, epoch, j)
utils.writeErrToScreen('normal', normalErrs, epoch, j)
utils.writeErrToScreen('rough', roughErrs, epoch, j)
utils.writeErrToScreen('depth', depthErrs, epoch, j)
utils.writeErrToFile('albedo', albedoErrs, testingLog, epoch, j)
utils.writeErrToFile('normal', normalErrs, testingLog, epoch, j)
utils.writeErrToFile('rough', roughErrs, testingLog, epoch, j)
utils.writeErrToFile('depth', depthErrs, testingLog, epoch, j)
albedoErrsNpList = np.concatenate( [albedoErrsNpList, utils.turnErrorIntoNumpy(albedoErrs)], axis=0 )
normalErrsNpList = np.concatenate( [normalErrsNpList, utils.turnErrorIntoNumpy(normalErrs)], axis=0 )
roughErrsNpList = np.concatenate( [roughErrsNpList, utils.turnErrorIntoNumpy(roughErrs)], axis=0 )
depthErrsNpList = np.concatenate( [depthErrsNpList, utils.turnErrorIntoNumpy(depthErrs)], 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.writeNpErrToFile('albedoAccu', np.mean(albedoErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j )
utils.writeNpErrToFile('normalAccu', np.mean(normalErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j )
utils.writeNpErrToFile('roughAccu', np.mean(roughErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j )
utils.writeNpErrToFile('depthAccu', np.mean(depthErrsNpList[1:j+1, :], axis=0), testingLog, epoch, j )
if j == 1 or j% 2000 == 0:
utils.writeErrToScreen('meanAngle2', meanAngle2Errs, epoch, j)
utils.writeErrToScreen('rendered', renderedErrs, epoch, j)
utils.writeErrToFile('normal1', normal1Errs, trainingLog, epoch, j)
utils.writeErrToFile('medianAngle1', medianAngle1Errs, trainingLog, epoch,
j)
utils.writeErrToFile('meanAngle1', meanAngle1Errs, trainingLog, epoch, j)
utils.writeErrToFile('normal2', normal2Errs, trainingLog, epoch, j)
utils.writeErrToFile('medianAngle2', medianAngle2Errs, trainingLog, epoch,
j)
utils.writeErrToFile('meanAngle2', meanAngle2Errs, trainingLog, epoch, j)
utils.writeErrToFile('rendered', renderedErrs, trainingLog, epoch, j)
normal1ErrsNpList = np.concatenate(
[normal1ErrsNpList,
utils.turnErrorIntoNumpy(normal1Errs)], axis=0)
medianAngle1ErrsNpList = np.concatenate(
[medianAngle1ErrsNpList,
utils.turnErrorIntoNumpy(medianAngle1Errs)],
axis=0)
meanAngle1ErrsNpList = np.concatenate(
[meanAngle1ErrsNpList,
utils.turnErrorIntoNumpy(meanAngle1Errs)],
axis=0)
normal2ErrsNpList = np.concatenate(
[normal2ErrsNpList,
utils.turnErrorIntoNumpy(normal2Errs)], axis=0)
medianAngle2ErrsNpList = np.concatenate(
[medianAngle2ErrsNpList,
utils.turnErrorIntoNumpy(medianAngle2Errs)],
axis=0)
opNormal.step()
opRough.step()
opDepth.step()
# Output training error
utils.writeErrToScreen('albedo', [albedoErr], epoch, j)
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.writeErrToScreen('depth', [depthErr], epoch, j)
utils.writeErrToScreen('reconstErrors', [reconstErr], epoch, j)
utils.writeErrToScreen('renderErrors', [renderErr], epoch, j)
utils.writeErrToFile('albedo', [albedoErr], testingLog, epoch, j)
utils.writeErrToFile('normal', [normalErr], testingLog, epoch, j)
utils.writeErrToFile('rough', [roughErr], testingLog, epoch, j)
utils.writeErrToFile('depth', [depthErr], testingLog, epoch, j)
utils.writeErrToFile('reconstErrors', [reconstErr], testingLog, epoch, j)
utils.writeErrToFile('renderErrors', [renderErr], testingLog, 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,
