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Commit dfb238a9 authored by Nicolai Wojke's avatar Nicolai Wojke
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Fixed command in example (README)

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...@@ -54,7 +54,7 @@ The following example generates these features from standard MOT challenge ...@@ -54,7 +54,7 @@ The following example generates these features from standard MOT challenge
detections. Again, we assume resources have been extracted to the repository detections. Again, we assume resources have been extracted to the repository
root directory and MOT16 data is in `./MOT16`: root directory and MOT16 data is in `./MOT16`:
``` ```
python generate_detections.npy python generate_detections.py
--model=resources/networks/mars-small128.ckpt \ --model=resources/networks/mars-small128.ckpt \
--mot_dir=./MOT16/train \ --mot_dir=./MOT16/train \
--output_dir=./resources/detections/MOT16_train --output_dir=./resources/detections/MOT16_train
...@@ -64,6 +64,8 @@ file in NumPy native format. Each file contains an array of shape `Nx138`, ...@@ -64,6 +64,8 @@ file in NumPy native format. Each file contains an array of shape `Nx138`,
where N is the number of detections in the corresponding MOT sequence. where N is the number of detections in the corresponding MOT sequence.
The first 10 columns of this array contain the raw MOT detection copied over The first 10 columns of this array contain the raw MOT detection copied over
from the input file. The remaining 128 columns store the appearance descriptor. from the input file. The remaining 128 columns store the appearance descriptor.
The files generated by this command can be used as input for the
`deep_sort_app.py`.
## Highlevel overview of source files ## Highlevel overview of source files
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