1. 12 May, 2020 1 commit
    • pkulzc's avatar
      Open source MnasFPN and minor fixes to OD API (#8484) · 8518d053
      pkulzc authored
      310447280  by lzc:
      
          Internal change
      
      310420845  by Zhichao Lu:
      
          Open source the internal Context RCNN code.
      
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      310362339  by Zhichao Lu:
      
          Internal change
      
      310259448  by lzc:
      
          Update required TF version for OD API.
      
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      310252159  by Zhichao Lu:
      
          Port patch_ops_test to TF1/TF2 as TPUs.
      
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      310247180  by Zhichao Lu:
      
          Ignore keypoint heatmap loss in the regions/bounding boxes with target keypoint
          class but no valid keypoint annotations.
      
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      310178294  by Zhichao Lu:
      
          Opensource MnasFPN
          https://arxiv.org/abs/1912.01106
      
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      310094222  by lzc:
      
          Internal changes.
      
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      310085250  by lzc:
      
          Internal Change.
      
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      310016447  by huizhongc:
      
          Remove unrecognized classes from labeled_classes.
      
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      310009470  by rathodv:
      
          Mark batcher.py as TF1 only.
      
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      310001984  by rathodv:
      
          Update core/preprocessor.py to be compatible with TF1/TF2..
      
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      309455035  by Zhi...
      8518d053
  2. 13 Jul, 2018 1 commit
    • Zhichao Lu's avatar
      Merged commit includes the following changes: · 85dd5fa4
      Zhichao Lu authored
      204489224  by Zhichao Lu:
      
          Modify ssd mobilenet v1 fpn config to be a bit more tolerant to OOM failure by bumping down the batch size to 64 and doubling the number of iterations to 25k. It now converges in 2.5 hours.
      
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      204488942  by Zhichao Lu:
      
          Internal change
      
      204480631  by Zhichao Lu:
      
          This CL makes sure that num_steps parameter are not updated to 0 if num_steps field is not mentioned in config.
      
          The default behavior for number of steps parameter for training is infinite (train forever). The default value num_steps in train.proto is 0 (for training indefinitely). However the estimator/training function expects the num_steps to be set to None to train indefinitely.
      
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      204437217  by Zhichao Lu:
      
          Create a Docker image to support TensorFlow Lite / Object Detection blog post.
      
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      204317570  by Zhichao Lu:
      
          Internal change
      
      PiperOrigin-RevId: 204489224
      85dd5fa4