Top Tweets for #MobileNetSSD
Ok, so our new #ai dog tracking algorithm, now trialling on #yolov8 as a comparison to its former #madewithtfjs with #mobilenetssd definitely needs a bit of tweaking π€£π
@recantha Take a look on this video clip:
It's a #RaspberryPi 4B running the #MobileNetSSD model, being accelerated by the @Google's #EdgeTPU USB accelerator π€
It's a .tflite model, but #quantized
22-23 FPS π
It's a game changer for #ObjectDetection applications.
#LearnToCode
Xailient's Selective Attention focuses YOUR AI on what matters in a scene to boost accuracy!
#computervision #objectdetection #mobilenet #ssd #mobilenetssd
Learn to implement your own Vehicle detector. https://t.co/4B0Vj0mrMz
#computervision #objectdetection #mobilenet #ssd #mobilenetssd #xailient
Streamlit what an app framework !
- Take a #github repository
- Make it run locally
- Add more features
Results : #openCV techniques and #detecting #lfwdataset using #ComputerVision, #MobileNetSSD and #CaffeModel
#ArtificialIntelligence #Python #DeepLearning
#Detecting & #Tracking objects (Persons entering/leaving a local commerce) with #RaspberryPi4B #OpenCV, using #BackgroundSubstraction (Like a mask)
FPS = 39.30
In previous tweet, it was used a #MobileNetSSD #CaffeModel (FPS = 24)
#ArtificialIntelligence #Python
#LearnToCodeπ€
#ComputerVision - Object Detection with #YoloV3 and #MobileNetSSD
https://t.co/VRKfUPPCp3 via @elbruno
#MobileNetSSD also rocks !
Using #MobileNetSSD (#SingleShotDetector) #DeepNeuronalNetworks #DNNModule #Caffe and #OpenCV - @opencvlibrary to detect objects with #RaspberryPi4B @Raspberry_Pi π
#ArtificialIntelligence #AI
#InteligenciaArtificial #IA
#Python @PyImageSearch
Paper:
https://t.co/foATd2YMQj
My repository has corresponded to PiCamera.
[25 FPS] #PiCamera + #NCS2 x 1 Stick + #RaspberryPi3 + #MobileNetSSD + MultiProcess + MultiThread + MultiRequest
320x240(QVGA) -> 25 FPS
640x480(VGA) -> 15 FPS
1280x720(HD) -> 10 FPS
https://t.co/pYb5dSFR6S
#OpenVINO #DeepLearning #IoT
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