Hi, my name is Juan Carlos Miranda. During my PhD, my work focused on the application of photonic sensors, computer vision and fruit load estimation in apple trees.
- Researchgate -> https://www.researchgate.net/profile/Juan-Miranda-6/
- Scholar.Google -> https://scholar.google.com/citations?hl=es&user=B2f3BHYAAAA
- ORCID 0000-0001-5912-9704 -> https://orcid.org/0000-0001-5912-9704/
- SCOPUS ID 57947116100 -> https://www.scopus.com/authid/detail.uri?authorId=57947116100
- LinkedIn -> https://www.linkedin.com/in/juan-carlos-miranda-py/
- Twitter -> https://twitter.com/mirandajuancar/
- Stackoverflow -> https://stackoverflow.com/users/8041249/juan-carlos-miranda/
- huggingface ->https://huggingface.co/jmiranda
Some notes.
Resources | Description |
---|---|
Azure Kinect camera setup (automated scripts for Linux and Windows) | Ready-to-use installation scripts (https://github.com/juancarlosmiranda/azure_kinect_notes. |
ResearchGate - Azure Kinect camera information resources | Question open in ResearchGate about Azure Kinect DK camera. |
Currently maintaining software packages at (Pypi.org)[https://pypi.org].
Package | Description | |
---|---|---|
AK_ACQS Azure Kinect Acquisition System (https://github.com/GRAP-UdL-AT/ak_acquisition_system) | AK_ACQS is a software solution for data acquisition in fruit orchards using a sensor system boarded on a terrestrial vehicle. It allows the coordination of computers and sensors through the sending of remote commands via a GUI. At the same time, it adds an abstraction layer on library stack of each sensor, facilitating its integration. This software solution is supported by a local area network (LAN), which connects computers and sensors from different manufacturers ( cameras of different technologies, GNSS receiver) for in-field fruit yield testing. | |
AK_SM_RECORDER - Azure Kinect Standalone Mode (https://pypi.org/project/ak-sm-recorder/) | A simple GUI recorder based on Python to manage Azure Kinect camera devices in a standalone mode. | |
AK_FRAEX - Azure Kinect Frame Extractor (https://pypi.org/project/ak-frame-extractor/) | AK_FRAEX is a desktop tool created for post-processing tasks after field acquisition. It enables the extraction of information from videos recorded in MKV format with the Azure Kinect camera. Through a GUI, the user can configure initial parameters to extract frames and automatically create the necessary metadata for a set of images. | |
AK_SW_BENCHMARKER - Azure Kinect Size Estimation & Weight Prediction Benchmarker (https://pypi.org/project/ak-sw-benchmarker/) | Python based GUI tool for fruit size estimation and weight prediction. | |
AK_VIDEO_ANALYSER - Azure Kinect Video Analyser (https://pypi.org/project/ak-video-analyser/) | Python based GUI tool for fruit size estimation and weight prediction from videos. |
Currently maintaining software packages at (Pypi.org)[https://pypi.org].
Resource | Description |
---|---|
AK_FRAEX - Azure Kinect Frame Extractor demo videos | Video samples recorded in the field using the Azure Kinect DK. These videos are part of the https://pypi.org/project/ak-frame-extractor/ software to demonstrate the use of frame extraction tasks. |