Tools which I'm working on to track stats of runs beyond what the typical tracker does
pillow, tensorflow, numpy, cv2, pygsheets, twitch-dl, seaborn, scipy, pandas, matplotlib, keras-tuner, keras, pathlib, shutil
ffmpeg.exe and credentials.json in the folder, cuda
This is the heart of the program, it downloads a bunch of vods and writes various stats to a google sheet. It requires models in the models folder to detect buried treasures.
This script downloads a frame from every second of a vod specified to the unsorted_images folder. It requires a vod in the vods folder.
This script "uncollages" wall images
This script trains a model for classifying specific traits of spawn images. It requires images to be sorted in the designated folders in the spawn_image_classification folder. It stores the models in the models folder.
This script trains a model for identifying buried treasure chest loot guis. It requires images to be sorted in the designated folders in the bt_identification folder. It stores the model in the models folder.
This script trains a model for identifying wall interfaces. It requires images to be sorted in the designated folders in the wall_identification folder. It stores the model in the models folder.
- Emily
- Ravalle
- Specnr
- Pokemon
- TalkingMime
- Lemon
- Sharpie
- Llama
- Peej