Pi power-over-ethernet

For a project of mine I needed power-over-ethernet (PoE) to be available on my Raspberry Pi. There are several reasons why one would want to use PoE. In my case I need a reliable network connection, and power couldn’t be provided consistently using solar or stand alone methods either. PoE combines both things without the necessity of having to run an extra power cable, proving […]

Continue Reading

Jungle Rhythms: time series accuracy and analysis

Today marks the 6th month since Jungle Rhythms‘ launch. During this period more than 8500 citizen scientists, from both sides of the Atlantic, contributed to the project. Currently, ~60% (~182 000 classifications) of the total workload is finished and almost half of the tasks at hand are fully retired. Next week I’ll present some of the first results at the Association of Tropical Biology and Conservation (ATBC) […]

Continue Reading

Caffe hack: outputting the FC7 layer

The Caffe deep learning framework has a nice set of python scripts to help automate classification jobs. However, I found the standard classifier.py output rather limited. The script does not output other data than the predicted result. Some applications could benefit from outputting the final FC7 classification weights. These weights together with a classification key can then be used to assign different labels (semantic interpretations) […]

Continue Reading

Raspberry pi camera v2: spectral response curve

Recently the raspberry pi foundation released a new iteration of their camera, version 2 (v2). This camera is based upon a different chipset compared to the previous version, namely Sony’s IMX219 (8MP). Luckily the specs were easier to find. So, once more I digitized the spectral response curves from the spec sheets. You can find both spectral response curves of v1 and v2 pi cameras in […]

Continue Reading

Basic pattern matching: saturday morning hack

The Pattern Perception Zooniverse project asks Zooniversites to classify patterns based upon their (dis)similarity. Yet given the narrow scope of the problem (no rotations, same output every time) it was well worth exploring how a simple covariance based metric would perform. The input to the problem is a set of 7 images, one reference image and six scenarios to compare it to. Below you see […]

Continue Reading
1 2 3 21