How can I get testing accuracy using tensorboard for Detectron2?
I'm learning to use Detecron2. I've followed this link to create a custom object detector. My training code - # training Detectron2 from detectron2.engine import DefaultTrainer from detectron2.co...
Is there a way to set different confidence thresholds for different ...
May 28, 2022 · Some are more complicated objects. My problem is that I am getting a lot of False Positives for the simple classes, because anything that looks loke a line gets classified. I am using …
Detectron2 Alteranatives - Data Science Stack Exchange
Oct 13, 2020 · Detectron2 is really good and it supports large number of models / but not all. Eg. Yolo. Do we have alternative to detectron2 which provide easy to use API for both model inference and …
Calculating the F score of Object Detection of Mask RCNN
I am using Detectron2 Mask RCNN for an object detection problem. The images consist of cells that are very close to each other. I can not use mAP as a performance measure since the annotations are ...
How to convert horizontal bounding box coordinates to oriented …
Nov 16, 2021 · Then I found another library named detectron2 that is built on the pytorch framework. Built-in faster rcnn network in detectron2 is actually compatible with OBB but I could not make that …
deep learning - Loss is coming very high for object detection - Data ...
Nov 9, 2021 · I am using total of 3000 images for training an ssd_inception_v2_coco as the object detection model. I have set batch size as 4 because I don't have a high end GPU hence I am renting …
Why does Faster R-CNN use SGD optimizer instead of Adam?
Aug 27, 2020 · I just start learning Faster R-CNN and I have some doubts about the optimizer of this network. In my understanding, Adam optimizer performs much better than SGD in a lot of networks. …
Is it possible to combine models in pytorch and pytorch geometric?
Dec 16, 2022 · You can define a combined model by creating an instance of both a PyTorch model and a PyTorch Geometric model, and then create a forward pass that applies both models to the input data.
Deal with overlapping classes in classification modeling
Mar 22, 2024 · I am currently working with a dataset comprising information about crop insurance for soybeans. My ultimate goal with this dataset is to create a classification model capable of predicting …
Newest 'etl' Questions - Data Science Stack Exchange
Jul 24, 2023 · Q&A for Data science professionals, Machine Learning specialists, and those interested in learning more about the field