@@ -17,7 +17,8 @@ docker pull beniz/deepdetect_cpu
1717docker run -d -p 8080:8080 beniz/deepdetect_cpu
1818```
1919
20- Right now, the only supported installation of DeepDetect that works with DeepSort is the deepdetect_cpu container.
20+ Right now, the only supported installation of DeepDetect that works with DeepSort is the deepdetect_cpu container,
21+ because it contain the good path for the pre-installed ` resnet-50 ` and ` googlenet ` models.
2122
2223Then, download the latest DeepSort release from https://github.com/CorentinB/DeepSort/releases
2324
@@ -37,9 +38,9 @@ For more informations, refeer to the helper:
3738./DeepSort --help
3839
3940[-u|--url] is required
40- usage: DeepSort [-h|--help] -u|--url "<value>" -i|--input "<value>"
41- [-n|--network (resnet-50|googlenet)] [-R|--recursive ]
42- [-j|--jobs <integer>] [-d|--dry-run]
41+ usage: deepsort [-h|--help] -u|--url "<value>" -i|--input "<value>"
42+ [-o|--output "<value>"] [- n|--network (resnet-50|googlenet)]
43+ [-R|--recursive] [- j|--jobs <integer>] [-d|--dry-run]
4344
4445 AI powered image tagger backed by DeepDetect
4546
@@ -48,6 +49,9 @@ Arguments:
4849 -h --help Print help information
4950 -u --url URL of your DeepDetect instance (i.e: http://localhost:8080)
5051 -i --input Your input folder.
52+ -o --output Your output folder, if output is set, original files will
53+ not be renamed, but the renamed version will be copied in
54+ the output folder.
5155 -n --network The pre-trained deep neural network you want to use, can be
5256 resnet-50 or googlenet. Default: resnet-50
5357 -R --recursive Process files recursively.
@@ -59,7 +63,7 @@ Arguments:
5963
6064- [X] Getting docker out of the loop (each user install his own DeepDetect)
6165- [X] ResNet 50 integration
62- - [ ] Output folder (copy and not rename)
66+ - [X ] Output folder (copy and not rename)
6367- [ ] NSFW tagging (Yahoo open_nsfw)
6468- [ ] XMP metadata writing
6569- [ ] GPU support
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