botcs’s gists

botcs / microcluster_module_v2.py

Created February 19, 2024 17:18

	import torch

	class MicroCluster:
	def __init__(self, x, label, max_radius=0.1):
	self.N = 1
	self.LS = x.clone()
	self.SS = x.pow(2)
	self.label = label
	self.max_radius = max_radius

botcs / microcluster_benchmark.py

Created February 19, 2024 17:11

	import torch
	import time
	import numpy as np
	from sklearn.datasets import make_blobs
	from sklearn.model_selection import train_test_split
	from sklearn.metrics import accuracy_score
	from microcluster_module import MClassification

	def generate_data(n_samples=1000, n_features=2, centers=5):
	X, y = make_blobs(n_samples=n_samples, n_features=n_features, centers=centers, random_state=42)

botcs / microcluster_module.py

Created February 19, 2024 17:10


	import torch

	class MicroCluster:
	def __init__(self, x, label, max_radius=0.1):
	self.N = 1
	self.LS = x.clone()
	self.SS = x.pow(2)
	self.label = label
	self.max_radius = max_radius

botcs / annotfinalscore.py

Created February 7, 2024 21:59

	class FinalScoreAnnotator:
	"""
	1) Adds annotations of the last values of the curves
	2) Aligns the annotations of the plot to avoid overlaps using L-BFGS-B

	Usage:
	Has the same signature and functionality as the plt.plot or ax.plot
	"""

	def __init__(self, ax=None):

botcs / on_device_augment.py

Created September 25, 2023 23:44

	from PIL import Image
	import numpy as np
	import torch
	import torchvision.transforms.functional as F
	from torchvision import transforms as T
	from torchvision.transforms.functional import _interpolation_modes_from_int, InterpolationMode
	import math
	from torchvision.transforms.transforms import _setup_size, _log_api_usage_once
	from collections.abc import Sequence
	from typing import List, Optional, Tuple, Union

botcs / CGLM_train_missing_paths.txt

Created June 19, 2023 20:20

botcs / io_benchmark.sh

Created June 14, 2023 02:01

measuring IO with 1k samples of 1MB

	#!/bin/bash

	directory=$1 # Replace with your designated directory

	# Function to measure write time
	measure_write_time() {
	local file="$1"
	local start_time=$(date +%s%N)
	dd if=/dev/zero of="$file" bs=1M count=1 status=none
	local end_time=$(date +%s%N)

botcs / error.txt

Created February 23, 2022 11:45

	bottom_up_features, expt_flops, real_flops, gate_tensor = self.backbone(x, step_rate)
	File "/data/engs-tvg-depth/csbotos/miniconda3/envs/dyndet/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
	return forward_call(input, *kwargs)
	File "/home/csbotos/github/fbscript/DynamicRouting/./dl_lib/modeling/dynamic_arch/dynamic_backbone.py", line 300, in forward
	self.all_cell_list[layer_index][_cell_index](
	File "/data/engs-tvg-depth/csbotos/miniconda3/envs/dyndet/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
	return forward_call(input, *kwargs)
	File "/home/csbotos/github/fbscript/DynamicRouting/./dl_lib/modeling/dynamic_arch/dynamic_cell.py", line 273, in forward
	result_list[2].append(h_l_down * gate_weights_beta_down)
	(function _print_stack)

botcs / delayed_mirror.py

Last active April 22, 2020 18:17

a delayed mirror with minimal rewind functionality

	import numpy as np
	import cv2
	import time

	cap = cv2.VideoCapture(0)
	FRAME_DELAY = 120

	cv2.namedWindow('frame', cv2.WINDOW_FREERATIO)
	# cv2.setWindowProperty('frame', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)

botcs / coco-map-2GT-3PRED.ipynb

Last active December 23, 2019 01:05

Sorry, something went wrong. Reload?

Sorry, we cannot display this file.

Sorry, this file is invalid so it cannot be displayed.

Csaba Botos botcs