Osiyo. Dohiju? Hey, welcome back.
I was sick last week and forgot to publish this update so I’m releasing it now so I can put together my next update
I have managed to update the code so that you can simply add a plugin, filter, and a couple more items to a folder and they’ll be included automatically. The plus side is that this means I write a new filter for the cameras and when I enable that filter it will propagate. The downside is that the code is slower because it goes through two different loops. I need to fix that. Despite that, the front end display is just as fast, as expected.
I don’t know if I covered this before, however, each plugin and filter can have their own set of commands defined for SNIPs. Those commands are automatically merged to one commands.yml file which is then turned into a JSON file for use with SNIPs. I did fix the Java/Groovy startup for the JVM. In this way, if I want to write Groovy or Java to do tasks I’d be more comfortable with in those languages or even to experiment with elements I can do so. I can’t imagine using this much. In fact, I’d like to turn some of the plugins and tasks into faster running C/C++ code but I don’t know what the impact of that would be, yet. It is on my list though.
Here is my current Todo List that I’d like to have done before I release Serinda V2. Not all of these may be done before the release, but I’d like to at least wire the abilities. There are a few items on this list that if they were done (like installers, nn factory, and documentation) I’d probably release V2 then create this list in bitbucket as features to add. I am still quite happy with the work. I’d really like to get it on the LattePanda to do some larger scale testing with a battery pack instead of sitting at a desk. But I’m willing to wait until I have more features. If I get too antsy I can always hook everything to the laptop and walk around with the three cameras.
Until next time. Dodadagohvi.
Current Todo List:
make a set of installers to cover windows, linux, and mac lookup SERINDA OS recognizer for ideas Move video 2, left 50 pixels save in database load gui hide video 2 requirement for pip3 computer create new class find code examples create stub Dynamic camera detection database? iteration and initialization Keras, tensorflow, pytorch, caffe?, theano? Neural network class to interface pretrained models wired, darknet, kaggle, yolo can use whichever one load and unload as needed PDF load vox Scroll PDF vox OpenVX OpenPose, Skeleton pose, micro expresions, body language, human poses, eye tracking, human activity objects recognition gestures recognition PyTTsTest -> Python TTS instead of the browser voice Detect barcode on camera 1 TesseractOCR Streaming Kivy take realtime photos and video to train NN recognition vox select grid system to train with like captcha images select traffic signal update wiki and readme update code comments language lessons read pdf aloud turn HTML into React should make it easier to do a lot of the stuff I want to fix commands for menu speech commands instead of python? later when optimizing we'll look more into this snips can also be used with Tensorflow JS track object and select grid coord (until gestures work) screenshot a grid number track an object by grid coordinates select an object by grid coordinates and train a new recognition object - basically - select grid 150 to 200 by 100 (x 150 to 200 and 100 high) - then you can rotate or walk around the object and it will continuously get input of that object that it's tracking and generate the training files needed for this object to be added to the recognition framework. Real-time object recognition training Oculus with 2 cameras where eyes are to introduce whole AR to work with and see what happens test C/C++ code for some OpenCV items and see if that increases speed. test the write to a file portion - the writing works, but the encoding doesn't seem to be complete for some reason. speed up camera processing with the filters (look at the loops)