This commit is contained in:
Zhongdao 2020-01-29 21:47:41 +08:00
commit 23d399534f
3 changed files with 23 additions and 3 deletions

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@ -28,6 +28,18 @@ Usage:
python demo.py --input-video path/to/your/input/video --weights path/to/model/weights python demo.py --input-video path/to/your/input/video --weights path/to/model/weights
--output-format video --output-root path/to/output/root --output-format video --output-root path/to/output/root
``` ```
## docker demo example
```bash
docker build -t towards-realtime-mot docker/
docker run --rm --gpus all -v $(pwd)/:/Towards-Realtime-MOT -ti towards-realtime-mot /bin/bash
cd /Towards-Realtime-MOT;
python demo.py --input-video path/to/your/input/video --weights path/to/model/weights
--output-format video --output-root path/to/output/root
```
## Dataset zoo ## Dataset zoo
Please see [DATASET_ZOO.md](https://github.com/Zhongdao/Towards-Realtime-MOT/blob/master/DATASET_ZOO.md) for detailed description of the training/evaluation datasets. Please see [DATASET_ZOO.md](https://github.com/Zhongdao/Towards-Realtime-MOT/blob/master/DATASET_ZOO.md) for detailed description of the training/evaluation datasets.
## Pretrained model and baseline models ## Pretrained model and baseline models

5
docker/Dockerfile Normal file
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@ -0,0 +1,5 @@
FROM pytorch/pytorch:1.3-cuda10.1-cudnn7-devel
RUN apt update && apt install -y ffmpeg libsm6 libxrender-dev
RUN pip install Cython
RUN pip install opencv-python cython_bbox motmetrics numba matplotlib sklearn

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@ -5,12 +5,15 @@ import torch.nn as nn
from utils.parse_config import * from utils.parse_config import *
from utils.utils import * from utils.utils import *
from utils.syncbn import SyncBN
import time import time
import math import math
try:
from utils.syncbn import SyncBN
batch_norm=SyncBN #nn.BatchNorm2d batch_norm=SyncBN #nn.BatchNorm2d
#batch_norm=nn.BatchNorm2d except ImportError:
batch_norm=nn.BatchNorm2d
def create_modules(module_defs): def create_modules(module_defs):
""" """
Constructs module list of layer blocks from module configuration in module_defs Constructs module list of layer blocks from module configuration in module_defs