Detectron2 - Next Gen Object Detection Library - Yuxin Wu

Object detection and segmentation are used for tasks ranging from autonomous vehicles to content understanding for platform integrity. Learn about Detectron2, an object detection library now implemented in PyTorch. Detectron2 provides support for the latest models and tasks, increased flexibility to aid computer vision research, and improvements in maintainability and scalability to support production use cases.

[@JOHN-vb5bh]

Is there anyone who were able to do validation in detectron2 between the training

[@ahmadshah661]

any news on nash artheon????? guys i need info on that .. cant find any. help! :(

[@magelauditore333]

I can go on hearing it for days. Wish someone had told me about the world of ML,DL earlier. Feeling like wasted my 4 year of engineering

[@Anonymous-vh9tc]

At the same time it is also the most OVERHYPED field. A good engineer can learn to take advantage of ML in actual practical applications. And no you don’t need a PhD I math.

[@anirudhsilverking5761]

@@Anonymous-vh9tc If you need a good job, I guess you do

[@dennismertens990]

@@anirudhsilverking5761 you do need math to understand the algorithms. Otherwise, what kind of mediocre engineer would you be? Using algorithms without even having a minimum idea of how they work.

[@SuperOnlyP]

You are not wasting your time. AI is just a tool to combine with other tools.

[@robosergTV]

I mean if for the last 10 years you didnt hear about ML/AI or Deep Learning you must have been living under a rock. Even regular news outlets write about it (often in context of self driving cars etc)

[@MinhTran-ew3on]

love the way you answer github issues, ppwwyyxx

[@anji.reddy.akkala]

could you please explain how to use new class with pre-trained classes? in future, if i want to add few more classes to trained model, how to do the same?

[@PyTorch]

Hi Anjireddy. For help, please join and post in the PyTorch Forums: discuss.pytorch.org

[@cahanne9411]

Can detectron2 be used to classify 3D point clouds Or is it only for 2D images?

[@bytblaster]

2D only. But you can map your 3D point cloud to multiple 2D images

[@Ruhgtfo]

Dayum

[@somyarani9250]

Can I use YOLO model trained on customized data with detectron2 ?

[@PyTorch]

Hi Somya. For help, please join and post in the PyTorch Forums: discuss.pytorch.org

[@emilbogomolov5709]

Yes, the relevant question is: could we build one-stage detector using detectron2 without changing the source code?

[@vincentnaayem]

Do a updatable package!!!!! Please!

[@JOHN-vb5bh]

Can anyone give suggestions or instructions on integrating this code with detectron2 official code. I had done from detectron2.engine import MyTrainer from detectron2.engine import LossEvalHook and trainer = MyTrainer(cfg) in my training scripts But getting an error TypeError Traceback (most recent call last) in 21 22 os.makedirs(cfg.OUTPUT_DIR, exist_ok=True) ---> 23 trainer = MyTrainer(cfg) 24 trainer.resume_or_load(resume=False) 25 trainer.train() TypeError: 'module' object is not callable Please help me to solve this problem

[@crytoy87]

Can Detectron2 be ran on Raspberry pi ?

[@PyTorch]

Hi Crytoy, for further assistance please join and post in the PyTorch Forums: discuss.pytorch.org

[@deepakraj008]

Ya it can run.

[@Venkateshtanniru9]

I'm looking for more information about detectron2, if you could help me with that it helps me a lot for my project

[@PyTorch]

Hi Tanniru, you can find more information on Detectron2 here: bit.ly/2q1gPRP

[@anirudhsilverking5761]

5:14, those were direct shots at tensorflow OD API.

[@gluxodin3523]

when will you add cuda11 and RTX 3000 series Compatability???? Can't wait for using my new RTX 3090.

[@PyTorch]

Hi Glux, PyTorch 1.7 works with CUDA 11 `conda install pytorch torchvision torchaudio cudatoolkit=11.0 -c pytorch` or `pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio===0.7.2 -f download.pytorch.org/whl/torch_stable.html`

[@harutmargaryan9980]

Can I use Detectron2 with SSD algorithm?

[@PyTorch]

Hi Harut. For help, please join and post in the PyTorch Forums: discuss.pytorch.org