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treecounter-ML Alternatives
Similar projects and alternatives to treecounter-ML based on common topics and language
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Pine
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO. (by petercunha)
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optical.flow.demo
Discontinued A project that uses optical flow and machine learning to detect aimhacking in video clips.
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Sign-Language-Interpreter-using-Deep-Learning
A sign language interpreter using live video feed from the camera.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better treecounter-ML alternative or higher similarity.
treecounter-ML reviews and mentions
Posts with mentions or reviews of treecounter-ML.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-03.
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Is it possible to get the feature map from OpenCV's DNN module?
You can take a look at an example implementation of the code here. I was wondering how I can extract the feature maps from a particular layer using the dnn module. I thought of using the net.forward() to do it, but I am not sure if this is the correct way, and more importantly, I do not want to run two forward passes on the same image(I do not think it will be an elegant implementation).
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Bounding Box Filtering after using YOLOv4
Overlapping Bounding Boxes: As you can see from the image, I have quite a lot of overlapping bounding boxes around each detected object. I did some reading online, and found that I needed to use Non Maxima Suppression to filter the detections. I did that, and adjusted the NMS_THRESH parameter(The current results are at confidence threshold of 95% and NMS threshold of 100%). I am perplexed by this, and what I would like to have is some sort of a filter, where say if I already have a box at (x, y, w, h), then there should be like a barrier around the surrounding n pixels, where even if a box is detected, it will not be placed. If you want to take a look at my code, you can find the repository here and the particular file here.
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Help needed with object tracker implementation
I am not being able to work the Sort tracker into my current application code. It would be great if any of you could help me out here. The program crashes when I use the tracker.update() method.
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Stats
Basic treecounter-ML repo stats
3
6
2.6
over 2 years ago
sampreets3/treecounter-ML is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of treecounter-ML is Python.
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