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SaiNikhileshReddy
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Modified notebooks based on feedback from FayazRahman
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11 files changed

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-3403
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11 files changed

+2242
-3403
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CSSD/CSSD.ipynb

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"id": "u-xVVaAiiCAt",
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"outputId": "e616472d-d672-4a83-a8af-2f1279bde38a"
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},
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"outputs": [
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{
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"name": "stdout",
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"text": [
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"\u001b[K |████████████████████████████████| 261 kB 8.6 MB/s \n",
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]
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}
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],
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"outputs": [],
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"source": [
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"!pip3 install hub --quiet\n",
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"import os \n",
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"os.kill(os.getpid(), 9) "
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"\n",
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"# Run below cells and restart the runtime\n",
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"# if you are running it in colab\n",
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"# import os\n",
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"# os.kill(os.getpid(), 9) "
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {
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"id": "CLY2HM6djBc1"
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},
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {
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"id": "8l1NYRCQjXCd"
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},
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": null,
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"metadata": {
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"id": "funZY-1Jjojg"
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},
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"outputs": [],
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"source": [
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"import hub\n",
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"from PIL import Image \n",
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"import numpy as np \n",
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"import os\n",
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"import pandas as pd\n",
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"from matplotlib import pyplot as plt\n",
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"from glob import glob\n",
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"import time\n",
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"from tqdm import tqdm\n",
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"import cv2"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "1hwvS1vSju5s"
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},
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"source": [
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"# Creating dataset on hub"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "ettX_rwmf5fa"
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},
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"source": [
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"**Activeloop API** : https://docs.activeloop.ai/api-basics"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": null,
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"metadata": {
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"cellView": "form",
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"colab": {
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"id": "e_uTH7uVjRik",
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"outputId": "9a3162a4-500d-47fa-a09c-ead7492bb394"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"env: BUGGER_OFF=True\n",
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"Successfully logged in to Activeloop.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"#@title Login to ActiveLoop\n",
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"import hub\n",
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"\n",
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"# Login to ActiveLoop\n",
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"\n",
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"%env BUGGER_OFF=True\n",
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"!activeloop login -u username -p password\n",
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"!activeloop reporting --off"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "1hwvS1vSju5s"
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},
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"source": [
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"# Creating dataset on hub"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "ettX_rwmf5fa"
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},
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"source": [
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"**Activeloop API** : https://docs.activeloop.ai/api-basics"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'images/A_049.jpg'"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"image_path"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(361, 400, 3)"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"cv2.imread(image_path).shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(361, 400, 3)"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"cv2.imread(mask_path).shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(361, 400)"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"mask.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 47,
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"execution_count": null,
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"metadata": {
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"id": "5LXm8-8PoC0d"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Your Hub dataset has been successfully created!\n",
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"The dataset is private so make sure you are logged in!\n",
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"This dataset can be visualized at https://app.activeloop.ai/activeloop/cssd.\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|███████████████████████████████████████████████████████████████████████████████| 200/200 [00:01<00:00, 119.68it/s]\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Time elapsed uploading : 45.88695549964905\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# hubpath = './cssd-hub'\n",
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"hubpath = 'hub://activeloop/cssd'\n",
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": null,
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"metadata": {
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"id": "nq80O6y0y_rq"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"hub://activeloop/cssd loaded successfully.\n",
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"This dataset can be visualized at https://app.activeloop.ai/activeloop/cssd.\n",
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"{'images': Tensor(key='images'), 'masks': Tensor(key='masks')}\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"hubpath = 'hub://activeloop/cssd'\n",
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"ds = hub.load(hubpath)\n",
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},
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"cell_type": "code",
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"execution_count": 53,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Image Shape: (300, 400, 3)\n",
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"Masks Shape: (300, 400, 1)\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"index = 0\n",
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"print(f\"Image Shape: {ds.images[0].shape}\")\n",
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"print(f\"Masks Shape: {ds.masks[index].shape}\")"
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"print(f\"Masks Shape: {ds.masks[0].shape}\")"
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]
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}
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],
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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"nbformat_minor": 4
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}

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