Comments (5)
The total time shown during evaluation includes several additional operations that are not relevant to the network inference timing. Some of these include:
- data reading (images/velodyne) from disk, which will vary based on your computer setup (CPU, with HDD/SDD), and the data is normally provided directly from a ROS node during deployment
- additional mini batching procedure for evaluating losses
- saving proposals and predictions to disk
We can add a timing chart to the wiki to make things clearer (#16).
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Yes, Jason, a timing chart could be very helpful if it includes both preprocessing time && inference time.
- I personally profile the preprocessing time which is almost 0.1s, much larger than the time 0.02s in the paper
- In another opened issue, it seems you personally verified the "create bev map" time is already 0.02s, how could the preprocessing time being 0.02s ?
from avod.
Thanks for your response!
Yes, that's true, I recount the inference time, which is around 0.12s
and quite impressive.
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@kujason @memoiry @yzhou-saic , Can i run this model with CPU machine which has 16GB RAM??? Only testing on pre-trained model??
from avod.
You will need a computer with a GPU, I would not recommend trying to run this on a CPU only.
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Related Issues (20)
- Checking the mAP for cars, cyclist, and pedestrian HOT 9
- Running AVOD on Jetson Xavier
- ImportError: No module named 'wavedata.tools' HOT 1
- Running in real time
- ImportError: cannot import name 'kitti_dataset_pb2' from 'avod.protos' HOT 1
- What is the meaing of each value of output file? HOT 1
- What is the difference between box_3d , 'box_8c', 'box_8co',box_4c,'box_4ca' encoding for a bounding box ?? HOT 4
- Convert checkpoints to frozen graph, "ValueError: graph_def is invalid at node u'global_step/Assign': Input tensor 'global_step:0' Cannot convert a tensor of type int32 to an input of type int32_ref."
- TypeError: build() got multiple values for argument 'layers_config' HOT 2
- Pretrained Model HOT 1
- Problems with Run Evaluator
- questions about usage of kitti(more specifically which files to download)? HOT 1
- Result of test set
- About the RPN loss (smooth_L1_LOSS)
- Model capability to work with a tilted camera frame HOT 1
- Excuse me, an error is reported when generating Mini-batch, for obj_label in obj_labels: TypeError: 'NoneType' object is not iterable. What is the reason for this?
- protoc: not found HOT 1
- could anyone send me a Pretrained model for SSD-AVOD / AVOD ? HOT 1
- request to give access for pretrained model
- Evaluate the mAP of only one image
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