This note describes the configuration of an ATtiny85 based microcontroller development board named Digispark and similar to the Arduino line. It is available in many online marketplaces for roughly 1 dollar (e.g., Ebay, Amazon, AliExpress) and is shipped fully assembled, including a V-USB interface (a software-only implementation of a low-speed USB device for Atmel's AVR microcontrollers). Coding is similar to Arduino: it uses the familiar Arduino IDE and is already provided with a ready-to-use bootloader (fully integrated with Arduino), also allowing to be upgraded. Comparing it with the [ATmega328P](ht
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{ | |
"synets_to_label": { | |
"n01440764": 0, | |
"n01443537": 1, | |
"n01484850": 2, | |
"n01491361": 3, | |
"n01494475": 4, | |
"n01496331": 5, | |
"n01498041": 6, | |
"n01514668": 7, |
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# Install required packages: | |
# !pip -q install simplecrf nibabel wget | |
# !BUILD_MONAI=1 pip -q install git+https://github.com/Project-MONAI/MONAI#egg=monai | |
from monai.networks.blocks import CRF | |
import wget | |
import nibabel | |
import denseCRF3D |
Extract and crop images from MP4
mkdir cropped
for f in *.jpg *.png; do
echo convert "$f" -crop 1866x1050+54+29 cropped/"$f"
convert "$f" -crop 1866x1050+54+29 +repage cropped/"$f"
convert cropped/"$f" -resize 50% cropped/"$f"
done
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devices: ( | |
{ | |
name: "Wireless Mouse MX Master"; | |
smartshift: | |
{ | |
on: true; | |
threshold: 20; | |
}; | |
hiresscroll: | |
{ |
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import requests | |
from PIL import Image | |
import torch | |
import matplotlib.pyplot as plt | |
from transformers import OwlViTProcessor, OwlViTForObjectDetection | |
processor = OwlViTProcessor.from_pretrained("google/owlvit-base-patch32") | |
model = OwlViTForObjectDetection.from_pretrained("google/owlvit-base-patch32") |