find-knowledge

find-knowledge

  • 분류 전체보기 (141)
    • Review (43)
      • - 2D Object Detection (21)
      • - 3D Object Detection (4)
      • - Network (15)
      • - Label Assignment (1)
      • - Continual Learning (1)
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    • Python (2)
      • - Tensorflow (2)
    • ML (2)
    • Devcorse (94)
      • Linux(11.01~11.04) (4)
      • ROS(11.07~11.16) (7)
      • 차선인식(11.21~11.26) (3)
      • OpenCV(11.28~12.23) (32)
      • Obejct Detection(23.01.02~0.. (10)
      • Depth Estimation(01.30~2.15.. (12)
      • Visual SLAM(02.20~3.31) (26)
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find-knowledge

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multi modal auxiliary head multi task knowledge distillation re-parameterized object detector New module image classification label assignment transformer Implicit knowledge obejct detector CSPNet Anchor free object detector huge cnn model image calssification

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Python/- Tensorflow(2)

  • TFrecord, from_generator

    TFrecord TFrecord file is binary data format for saving data, it serialize data and save file using google protocol buffer format. TFrecord can help decrease data load time. Let's know how to use TFrecord following example. How to use TFrecord I use voc data from tfds, you can follow example without extra downloading all code 더보기 import tensorflow as tf import tensorflow_datasets as tfds import ..

    2023.02.18
  • TFDS - custom dataset(images, xmls)

    1. Tensorflow_datasets(in detail) 2. Background and goal You can use data directly from images, xmls in local directory. After download the data. But i want to use dataset voc/2007, voc/2012 from tfds using tfds.load(), and i want custom_dataset to use same pipeline. 3. Prepare the dataset You can prepare these example, i will use sceond type 더보기 data data data └ train └ train_images └ train └ i..

    2022.10.17
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