I am trying to create a tf.data.Dataset, where filenames are mapped to Depth images. My images are saved as raw binary, 320*240*4 bytes per file. Images are 320x240 pixels, with 4 bytes representing a pixel.

I am trying to create a tf.data.Dataset, where filenames are mapped to Depth images. My images are saved as raw binary, 320*240*4 bytes per file. Images are 320x240 pixels, with 4 bytes representing a pixel.

I cannot figure out how to create a parsing function that will take a tf.Tensor filename, and return a (240, 320) tf.Tensor containing my image.

Here is what I've tried.

import tensorflow as tf import numpy as np import struct import math from os import listdirclass Dataset: def

init(self): filenames = ["./depthframes/" + f for f in listdir("./depthframes/")]`self._dataset = tf.data.Dataset.from_tensor_slices(filenames).map(Dataset._parse) @staticmethod def _parse(filename): img = DepthImage(filename) return img.frame`

class DepthImage: def

init(self, path): self.rows, self.cols = 240, 320 self.f = open(path, 'rb') self.frame = [] self.get_frame()`def _get_frame(self): for row in range(self.rows): tmp_row = [] for col in range(self.cols): tmp_row.append([struct.unpack('i', self.f.read(4))[0], ]) tmp_row = [[0, ] if math.isnan(i[0]) else list(map(int, i)) for i in tmp_row] self.frame.append(tmp_row) def get_frame(self): self._get_frame() self.frame = tf.convert_to_tensor(np.array(self.frame).reshape(240, 320))`

if

name== "main": Dataset()

My error is as follows:

File "C:/Users/gcper/Code/STEM/msrdailyact3d.py", line 23, ininitself.f = open(path, 'rb') TypeError: expected str, bytes or os.PathLike object, not Tensor

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