以图搜图基于Towhee（resnet50 模型） + Milvus
-
Updated
Aug 21, 2024 - Python
#
restnet50
Here are 16 public repositories matching this topic...
ResNet50 for Image Classification
machine-learning computer-vision deep-learning artificial-intelligence image-classification resnet-50 restnet50 aicandy
-
Updated
Sep 18, 2024 - Python
Basic recommendation system with mySQL database and API
-
Updated
Jan 3, 2024 - Python
cat-dog classifer
-
Updated
Dec 2, 2023 - Python
Atreus is an advanced bot designed to play the popular game GTA 5 using cutting-edge computer vision and deep learning techniques. By implementing AlexNet, a deep convolutional neural network, Atreus can interpret game visuals and make strategic decisions in real-time.
python machine-learning deep-neural-networks computer-vision deep-learning artificial-intelligence alexnet pyautogui-automation restnet50
-
Updated
Apr 22, 2024 - Python
A project on building deep learning classifier to classify playing cards
deep-learning imagenet convolutional-neural-networks transfer-learning vgg-16 efficientnetb0 restnet50 efficientnetb4
-
Updated
Apr 26, 2022 - Jupyter Notebook
Developing a RESTful API using FastAPI to accept an image and return the image type using the ResNet50 (ImageNet) model.
-
Updated
Dec 20, 2023 - Python
A breast cancer analysis project using advanced image processing techniques. This research employed CNNs, specifically VGG16, DenseNet121, and ResNet150V2, to analyze histopathological images from the BreakHis dataset on Kaggle, enhancing breast cancer detection and classification.
-
Updated
Aug 6, 2024 - Jupyter Notebook
Context Understanding from Videos analyzes video content by extracting frames and audio, then detecting objects, faces, emotions, and actions. It uses Python with OpenCV, MoviePy, and YOLO. Future plans include embedding models for improved context analysis.
python opencv lstm speech-recognition keras-models audio-processing moviepy frame-extraction conv3d yolov5 restnet50
-
Updated
Aug 23, 2024 - Jupyter Notebook
-
Updated
Jul 15, 2024 - Python
A Large-Scale Dataset for Fish Segmentation and Classification Using Deep Learning Algorithms
cnn densenet deeplearning vgg19 kaggle-dataset fish-classification efficientnetb7 restnet50 large-scale-fish-dataset inceptio-v3
-
Updated
May 3, 2023 - Jupyter Notebook
Python script leveraging pre-trained ResNet18 for extracting video features from the YouTube Dataset, enabling LSTM-based action recognition models.
-
Updated
Jul 5, 2024 - Python
Python-based solution for automatic image caption generation using a ResNet-50 CNN and RNN, featuring comprehensive data preprocessing, model training, and evaluation with BLEU score and Cosine Similarity metrics.
python nlp machine-learning deep-learning pytorch image-captioning restnet image-caption-generator restnet50
-
Updated
Sep 30, 2023 - Jupyter Notebook
This project addresses the danger of distracted driving by developing a system that analyzes in-vehicle camera footage. Deep learning models, including self-trained Convolutional Neural Networks (CNNs) and pre-trained architectures like ResNet-50 and VGG-16, are used to identify drivers who are texting, using phones, reaching for objects or talking
-
Updated
May 7, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the restnet50 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the restnet50 topic, visit your repo's landing page and select "manage topics."