When detecting objects, the method to display the detected boxes can affect the inference speed. One of the models I’m working on uses a clustering method to display those boxes and it is SUPER SLOW.I’ve noticed something when I was…
For this post, I’d like to share how to label images using LabelIMG.I’ll be using the Anaconda command prompt, so start the tutorial after you’re inside one of your environments. Start LabelIMG Git clone the repo Install Requirements Change directory…
OPTIMIZING YOUR MODELThere is a machine learning framework called, TensorRT to “optimize” your model for faster inference. I’ve been converting many models to a TensorRT engine for a while, but I didn’t really know how it was optimizing the model.…
MY BRITAFor the past few weeks, I’ve been deploying pre-trained models so, for this time, I finally made my first retrained model for detecting my BRITA(I honestly just didn’t have anything else to detect). Since it’s my first time, I…
EVALUATING PERFORMANCEI’ve been able to create several successful routes to deploy models using the Deepstream app. So for my next step, before retraining models, I compared the performance depending on the GPU METRICS ＆ NOTES– Model: YOLOV3– I’m comparing JetsonTX2…
Configuring The AppIt was so hard for me to understand what was going on when I first touched the DeepStream SDK, so for this post, I want to share how the DeepStream App is configured VISUALLY. (Hoping I’m understanding it…
COMPARING MODELSLast week, I was able to deploy SSD_mobileNet_v2, so for comparison, this time I deployed SSD_Inception_V2. PREREQUISITE– DeepStream 5.0.1– Jetpack 4.4– Tensorflow 1.15.0 ( If you haven’t installed it yet, check out my last post) REFERENCES– https://havedatawilltrain.com/stream-of-the-jest/– IMPLEMENTATION1.…
DEEPSTREAMI was finally able to deploy a simple model using Deepstream, so I’d like to share it here PREREQUISITE– DeepStream 5.0.1– Jetpack 4.4– Tensorflow 1.15.0 IMPLEMENTATION ■ Install requirements for TensorFlow1.x on Jetson ■Install Tensorflow1.15.0: Be careful with the version…
PART 2I’ve tried generating faces to see how many images and epochs you need to get something recognizable. For part 1, I’ve done 23 epochs with about 20,000 images, and found that the machine was able to create something recognizable…
How Much Is Enough? The last time I used gan(Generating cityscapes), the output was not recognizable due to a lack of data. So, as for my next step I wanted to find out how much data and epochs you need…