Ejemplo n.º 1
0
def perturb_writer(ID, idx, imgOrig, imgPatchOrig, imgPatchPert, HAB, pOrig,
                   tfRecFolder):
    filename = str(ID) + "_" + str(idx)
    fileID = [ID, idx]
    tfrecord_io.tfrecord_writer(imgOrig, imgPatchOrig, imgPatchPert, pOrig,
                                HAB, tfRecFolder, filename, fileID)
    return
Ejemplo n.º 2
0
def odometery_writer(ID, pclA, pclB, imgDepthA, imgDepthB, tMatTarget,
                     tfRecFolder):
    '''
    ID: python list with size 2
    pclA, pclB: numpy matrix of size nx4, mx4
    imgDepthA, imgDepthB: numpy matrix of size 128x512
    tmatTarget: numpy matrix of size 4x4
    tfRecFolder: folder name
    '''
    filename = str(ID[0]) + "_" + str(ID[1]) + "_" + str(ID[2])
    tfrecord_io.tfrecord_writer(ID, pclA, pclB, imgDepthA, imgDepthB,
                                tMatTarget, tfRecFolder, filename)
    return
Ejemplo n.º 3
0
def perturb_writer(ID, idx, imgOrig, imgPatchOrig, imgPatchPert, HAB, pOrig,
                   tfRecFolder):
    ##### original patch
    #filename = filenameWrite.replace(".jpg", "_"+ str(idx) +"_orig.jpg")
    #cv2.imwrite(patchFolder+filename, imgPatchOrig)
    ##### perturbed patch
    #filename = filenameWrite.replace(".jpg", "_"+ str(idx) +"_pert.jpg")
    #cv2.imwrite(patchFolder+filename, imgPatchPert)
    ##### HAB
    #filename = filenameWrite.replace(".jpg", "_"+ str(idx) +"_HAB.csv")
    #with open(HABFolder+filename, 'w', newline='') as f:
    #    writer = csv.writer(f)
    #    if (HAB.ndim > 1):
    #        writer.writerows(HAB)
    #    else:
    #        writer.writerow(HAB)
    ##### Original square
    #filename = filenameWrite.replace(".jpg", "_"+ str(idx) +".csv")
    #with open(squareFolder+filename, 'w', newline='') as f:
    #    writer = csv.writer(f)
    #    if (pOrig.ndim > 1):
    #        writer.writerows(pOrig)
    #    else:
    #        writer.writerow(pOrig)
    # Tensorflow record
    filename = str(ID) + "_" + str(idx)
    fileID = [ID, idx]
    tfrecord_io.tfrecord_writer(imgOrig, imgPatchOrig, imgPatchPert, pOrig,
                                HAB, tfRecFolder, filename, fileID)

    #imgOp = image_process_subMean_divStd(imgPatchOrig)
    #imgPp = image_process_subMean_divStd(imgPatchPert)
    #tfrecord_writer(imgOp, imgPp, HAB, pOrig, tfRecFolder+filename)
    # Tensorflow record in range -1 and 1
    #filename = filenameWrite.replace(".jpg", "_"+ str(idx))
    #imgOp = image_process_subMean_divStd_n1p1(imgPatchOrig)
    #imgPp = image_process_subMean_divStd_n1p1(imgPatchPert)
    #tfrecord_writer(imgOp, imgPp, HAB, pOrig, tfRecFolderN1P1+filename)

    return