Comments (6)
I'm not sure. Could you try to modify this line of code in model_lib.py to the following? (You could replace 64 with a larger number if you'd like.)
img_summary = tf.summary.image('Detections_Left_Groundtruth_Right',
detection_and_groundtruth,
max_outputs=64)
Reference: https://www.tensorflow.org/api_docs/python/tf/compat/v1/summary/image
Let me know if it works.
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It works the same as before... Thanks.
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I see. I guess we need to modify the code so that it saves all evaluated images (into a big batch) and calls tf.summary.imag() with those altogether. It would probably require a lot of code changes.
From what I can see, the original tensorflow object detection API code simply does not support that. I guess you could file this as a feature request to tensorflow/models.
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Thank you for your reply!!
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https://drive.google.com/file/d/18kzG7vUzHhlSB9hRI_0Z6Voc2j9z3WLM/view?usp=sharing
Hi, I could see these results like you when I ran the 'eval.sh'.
But I don't know what this means.
I know about "IoU", I don't know "0.50:0.95", "area", "maxDets"'s mean.
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https://jkjung-avt.github.io/trt-detection-map/
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Related Issues (20)
- evel config HOT 1
- The training consume all my memory HOT 4
- Retraining custom object detector HOT 15
- 3.Run the installation script. Make sure the last step in the script HOT 1
- Can i train in python2 but applied in Jestson in Python3? HOT 1
- python prepare_egohands.py HOT 21
- Shuffle buffer filled. HOT 2
- How can I view the output log of the training HOT 6
- Trouble converting retrained SSD Mobilenet v2 model to TensorRT engine HOT 7
- tf_trt_models's 'camera_tf_trt.py' HOT 8
- Software to labelize your images HOT 3
- ./train.sh result window
- How to improve created model performance HOT 31
- Training with background images HOT 3
- Loaded runtime CuDNN library: 7.5.1 but source was compiled with: 7.6.0. HOT 3
- Retraining Custom MobilenetV2-fn and use on TensorRT HOT 14
- About model HOT 3
- Training on GTX 1080 Ti HOT 2
- Where is "ssdlite_mobilenet_v2_egohands"? HOT 1
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