Comments (29)
https://github.com/EscVM/OIDv4_ToolKit
from dataset.
To download specific classes, use this
from dataset.
@aryus96 I've composed file with classes I need similar to classes.txt
and used code to download images from here blog.algorithmia.com/deep-dive-into-object-detection-with-open-images-using-tensorflow.
from dataset.
We currently provide annotations for the whole dataset. You can parse our CSV files and obtain the image keys only for labels of interest for your application. Then you can download images only for those keys.
from dataset.
install "awscli" library u will not see any issue
from dataset.
Hi,
I'm also interested on that request, there is this issue but I don't really understand :
#61
If you do understand how to proceed, can you explain it ?
Thanks !
from dataset.
@harshilpatel312 your script is not downloading all the images. Could you please help me solving this.
Thanks
from dataset.
@jillelajitta use our OIDv4 Toolkit
https://github.com/EscVM/OIDv4_ToolKit
We’ve been mentioned also by OIDv4 for our work. If you will have problems open an issue :)
from dataset.
Thanks @keldrom,your script is working well but I don't want to download labels. Could you please help me where do I need to modify the script.
from dataset.
@jillelajitta the labels are generated after the download of the image and takes few seconds but you give me a great feedback so next update I will add this options.
from dataset.
@jillelajitta now you can avoid the creation of the labels with --noLabels
option :)
OIDv4Toolkit
from dataset.
@keldrom Awesome,it's working. Thank you so much :) :)
from dataset.
Hi, @keldrom, I have downloaded openimages train-annotations-bbox.csv and parsed it for each class,I found they don't have annotations for all the images. But when I was downloading labels from your script, I'm getting annotations for all the images. Does CSV files have annotations for all the images? Does your script have option to download only labels?
If I download, Can I get the annotations in this format ['filename','width','height','class','xmin','ymin','xmax','ymax'].
Thanks
from dataset.
@jillelajitta when you need help please create an issue on our repository.
Btw:
Does CSV files have annotations for all the images?
The label for all the images are in the csv file associated and it's a gift from Google so I think it has all what we need.
Does your script have option to download only labels?
Think about this scenario: you have downloaded some images, if you reuse the same command the scripts check the presence of the images and then creates the labels. If you want a scripts that creates only the labels you may can use a particular version of the function get_label
into downloader.py
.
If I download, Can I get the annotations in this format ['filename','width','height','class','xmin','ymin','xmax','ymax'].
Our scripts make .txt files with that specified structure because each application needs a properly sequence of information hence we cannot make an output for everyone. But this options is one of the next update list but I cannot assure you this release will be out in few time or not, I'm sorry.
If you need you can create a simple scripts starting from our get_label
that make the labels as you wish.
from dataset.
@keldrom
Below is the script I have used to parse the bounding boxes for specific objects. It is not parsing all the bounding boxes.
For example,for object AXE, I was able to download 115 annotations for 115 images with your script. coming to my script, I was able to parse only for few images. Please correct me if I'm going wrong with my script.
import pandas as pd
import csv
df2=pd.read_csv('./train-annotations-bbox.csv',quoting=csv.QUOTE_NONE, error_bad_lines=False)
df1=pd.read_csv('class-descriptions-boxable.csv')
objlis=['Toy', 'Beer', 'Chopsticks', 'Towel', 'Glove', 'Sunglasses', 'Ball', 'Backpack', 'Headphones', 'Fast food', 'Screwdriver', 'Laptop', 'Person', 'Wrench', 'Flashlight', 'Scissors', 'Suitcase', 'Snack', 'Medical equipment', 'Cat', 'Computer mouse', 'Coin', 'Calculator', 'Box', 'Stapler', 'Drink', 'Ratchet', 'Hat', 'Eraser', 'Tin can', 'Mug', 'Can opener', 'Goggles', 'Coffee cup', 'Paper towel', 'Flying disc', 'Face powder', 'Fruit', 'Pillow', 'Hammer', 'Drinking straw', 'Hair dryer', 'Alarm clock', 'Knife', 'Bottle', 'Bottle opener', 'Dumbbell', 'Bowl', 'Musical instrument', 'Ring binder', 'Plate', 'Mobile phone', 'Crutch', 'Pencil case', 'Briefcase', 'Plastic bag', 'Sports equipment', 'Lipstick', 'High heels', 'Shotgun', 'Picture frame', 'Tripod', 'Picnic basket', 'Handbag', 'Toilet paper', 'Footwear', 'Tablet computer', 'Dog', 'Book', 'Axe', 'Flower', 'Spoon', 'Fork', 'Camera', 'Vegetable', 'Diaper', 'Envelope', 'Watch', 'Handgun', 'Facial tissue holder', 'Ruler', 'Luggage and bags', 'Umbrella', 'Glasses', 'Pen', 'Binoculars', 'Perfume', 'Remote control', 'Helmet']
df3=pd.merge(df1,df2,on='Class_id') #Created Columns 'Class_id' & 'class' in 'class-descriptions-boxable.csv'
print(df3)
for i in objlis:
mod=i
mod=df3[df3['class']==i]
#print(mod)
mod.to_excel(i+'.xlsx')
Please try this script on your computer once.
Thanks.
from dataset.
@jillelajitta open an issue on our repository
from dataset.
@keldrom Sure Thanks.
from dataset.
Hi, I've got this error when I try to download the images:
python3 main.py downloader --classes Car --type_csv train --limit 100
INFO] Downloading Car.
----------Car----------
[INFO] Downloading train images.
[INFO] Found 89465 online images for train.
[INFO] Limiting to 100 images.
[INFO] Download of 100 images in train.
sh: 1: sh: 1: sh: 1: aws: not foundaws: not found
aws: not found
sh: 1: aws: not found
sh: 1: aws: not found
sh: 1: aws: not found
sh: 1: aws: not found
sh: 1: aws: not found
sh: 1: aws: not found
0%| | 0/100 [00:00<?, ?it/s]sh: 1: aws: not found
sh: 1: aws: not found
100%|████████████████████████████████████████████████████████████| 100/100 [00:00<00:00, 2328.20it/s]
[INFO] Done!
[INFO] Creating labels for Car of train.
[INFO] Labels creation completed.
from dataset.
python main.py downloader --classes Knife --type_csv train
When I run it with the command above, it onl downloads jsut a over 100 images of knives. In this website I see there are a lot more than that. How can I increse it? Thanks
from dataset.
Does it every time download only 100 images.or behavior is different.
if it download every time 100, images that means there is a flag called "args.limit". so while u run your command just add another flag "limit" and then try to see what happens.
like i am giving command to download 500 images.
python main.py downloader --classes Knife --type_csv train --limit 500
try this and share result if it resolve your issue.
from dataset.
Hello,
I have a problem with the toolKit:
OS Windows 10
Python 3.7
[INFO] | Downloading Orange.
Traceback (most recent call last):
File "..\TestToolKit\OIDv4_ToolKit\modules\downloader.py", line 25, in download
columns, rows = os.get_terminal_size(0)
OSError: [WinError 6] Controlador no v▒lido
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 37, in
bounding_boxes_images(args, DEFAULT_OID_DIR)
File "..\OIDv4_ToolKit\modules\bounding_boxes.py", line 62, in bounding_boxes_images
download(args, df_val, folder[0], dataset_dir, class_name, class_code)
File "..\OIDv4_ToolKit\modules\downloader.py", line 27, in download
columns, rows = os.get_terminal_size(1)
OSError: [WinError 6] Controlador no v▒lido
from dataset.
Hello,
I have such a problem when runnning the Toolkit in Windows 10, Python3.7. Can anyone give some advice?
[INFO] | Downloading Person.
Traceback (most recent call last):
File "D:\Dataset\OIDv4_ToolKit-master\modules\downloader.py", line 25, in download
columns, rows = os.get_terminal_size(0)
OSError: [WinError 6] The handle is invalid。
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:/Dataset/OIDv4_ToolKit-master/main.py", line 37, in
bounding_boxes_images(args, DEFAULT_OID_DIR)
File "D:\Dataset\OIDv4_ToolKit-master\modules\bounding_boxes.py", line 70, in bounding_boxes_images
download(args, df_val, folder[1], dataset_dir, class_name, class_code)
File "D:\Dataset\OIDv4_ToolKit-master\modules\downloader.py", line 27, in download
columns, rows = os.get_terminal_size(1)
OSError: [WinError 6] The handle is invalid。
Process finished with exit code 1
from dataset.
@WANGSHUAISWU next time open an issue on our repo please.
Anyway, I've just used the toolkit on WIN10 without getting that error. That function is used for the computation of the terminal width, it is a standard module of the os library.
from dataset.
Is it possible to download images from the extended open images dataset via this method as well?
from dataset.
@keldrom , I have downloaded the images I need from the dataset. Many thanks!
from dataset.
example how to download human mouth, human hand, etc
$ python3 main.py downloader --classes Human_mouth --type_csv all
$ python3 main.py downloader --classes Human_hand --type_csv all
from dataset.
I have written a contribution to that concernig the class "doors" on medium. May be it helps. At least I downloaded around 13k of annoted images to train a ssd model on doors.
from dataset.
script worked few times with no problems and suddenly now giving an error in line 56 in bounding_boxes.py. Using Visual Studio Code on MAC OS Python 3.6.10
Looks like few others had this issue but I don't see a resolution
class_code = df_classes.loc[df_classes[1] == class_name].values[0][0]
[INFO] | Downloading skunk.
Traceback (most recent call last):
File "main.py", line 37, in
bounding_boxes_images(args, DEFAULT_OID_DIR)
File "/Users/MyLap/CLONED/OIDv4_ToolKit/modules/bounding_boxes.py", line 56, in bounding_boxes_images
class_code = df_classes.loc[df_classes[1] == class_name].values[0][0]
IndexError: index 0 is out of bounds for axis 0 with size 0
from dataset.
How i rename label...for example for motorcycle i want to rename it to Twowheeler??
from dataset.
Related Issues (20)
- OpenImages V6 data set HOT 1
- there are no cat and dog coarse-grain category. HOT 1
- Image 01a624308e2f8c5d in oidv6-train-annotations-bbox.csv is mislabled
- Mislabeled Images HOT 1
- segmentations.csv mask 3 coordinates HOT 1
- Decoding Openimages v6 mask coordinates HOT 2
- BadZipFile Error HOT 3
- Soil-dataset
- L
- Golf rounds
- OIDv4 Tool Kit Windows 10 Python 3.7 HOT 2
- Extended dataset download per category? HOT 1
- (V5) Mismatched image and mask resolutions. HOT 2
- Explore UI does not load images HOT 2
- How to report invalid/questionable images? HOT 5
- Open Image Dataset V5 to COCO JSON format
- Why not build a video instance segmentation dataset?
- Where can I download the OpenImage V2 dataset? HOT 1
- Hierarchy question
- Request to add pretrained large-scale object detector to "Community Contributions" HOT 2
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from dataset.