Comments (3)
georgesung
commented on May 24, 2024
From README.md:
Training the model from scratch:
- Download the LISA Traffic Sign Dataset, and store it in a directory $LISA_DATA
- cd $LISA_DATA
- Follow instructions in the LISA Traffic Sign Dataset to create 'mergedAnnotations.csv' such that only stop signs and pedestrian crossing signs are shown
...
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synru
commented on May 24, 2024
Use signDatabasePublicFramesOnly\tools\mergeAnnotationFiles.py to create the csv
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sudonto
commented on May 24, 2024
@sunlung
how to filter only stop sign and pedestrian in mergeAnnotation.csv? really need your help.
thank you.
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Related Issues (20)
- image not getting saved in inference_out
- error when run
- TypeError: Expected int32, got list containing Tensors of type '_Message' instead. HOT 6
- Error when run inference.py HOT 2
- About mergedAnnotations.csv
- Improve the effect?
- loss when end training HOT 1
- Help me out~ HOT 1
- 按照LISA交通标志数据集中的说明创建'mergedAnnotations.csv'，以便仅显示停车标志和人行横道标志
- accuracy 怎么写呢
- The use of the DEFAULT BOX
- please help me, i am stuck in running inference.py HOT 1
- why USE
- Why use Alexnet instead of VGG?
- Exception running inference.py HOT 2
- ValueError: Dimension 1 in both shapes must be equal, but are 1152 and 288. Shapes are [?,1152] and [?,288]. From merging shape 2 with other shapes. for 'concat/concat_dim' (op: 'Pack') with input shapes: [?,17856], [?,4140], [?,1152], [?,288]. HOT 2
- I have a probelm running inference.py -m demo HOT 1
- This model doesn't predict on new images?
- where are the extractAnnotations.py and mergeAnnotationFiles.py? HOT 1
- This model doesn't predict on new images?
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