NVIDIA UNIT

Capture video stream from a camera or video file.

Pre-process the video frames to resize and normalize the input.

Send the pre-processed frames to a deployed object detection model using UNIT.

Receive the object detection results (bounding boxes, confidence scores).

Post-process the results to filter and display the detected objects.

Visualize the results in real-time.

Receive text input from a user or a data source.

Pre-process the text (e.g., tokenization, stemming).

Send the pre-processed text to a deployed sentiment analysis model using UNIT.

Receive the sentiment score (e.g., positive, negative, neutral).

Post-process the results to interpret the sentiment.

Display or store the sentiment score.

Receive user data (e.g., browsing history, purchase history).

Pre-process the user data to create a user profile.

Send the user profile to a deployed recommendation model using UNIT.

Receive the list of recommended products.

Post-process the results to filter and rank the recommendations.

Display the recommended products to the user.

Receive an image as input.

Pre-process the image (resize, normalize).

Send the pre-processed image to a deployed image classification model using UNIT.

Receive the classification results (e.g., labels, probabilities).

Post-process the results to select the most likely label.

Display or store the classification result.

Receive audio input from a microphone or audio file.

Pre-process the audio (e.g., noise reduction, feature extraction).

Send the pre-processed audio to a deployed speech recognition model using UNIT.

Receive the transcribed text.

Post-process the results to correct errors or format the text.

Display or store the transcribed text.