Select the Artboard tool in the Toolbar, and drag on the canvas to create an artboard. You can resize it by dragging a corner handle with the Artboard tool. To duplicate an existing artboard, select an artboard with the Artboard tool. Then press Option (MacOS) or Alt (Windows) and drag an exact copy of the artboard and its contents. If you bought Artboard 2 through our own store, your order will have been fulfilled by Devmate/Fastspring. To update to version 2.2, you need only redownload the application from here:Download Artboard. Quit Artboard if necessary, then double-click the.dmg file and copy Artboard to /Applications. This will overwrite your old copy of Artboard.
For basic dataset information, you can refer to the dataset website.Before we start, please make sure that the directory is located at
$MMACTION2/tools/data/sthv1/
. Spillo 1 7 1.Step 1. Prepare Annotations
Multimedia Artboard accepts both oil and water-based paints without buckling or warping. A new formulation of artboard, it is made with paper and thermal-set epoxy resin, allowing media to adhere to the surface without penetration.
![Inches Inches](https://www.nationalgeographic.com/content/dam/magazine/rights-exempt/2017/05/Akhenaten/Effendi_MM8344_R169_FR005_OG.ngsversion.1493769319479.adapt.1900.1.jpg)
First of all, you have to sign in and download annotations to
$MMACTION2/data/sthv1/annotations
Quiver take better notes 3 1 2. on the official website.![Artboard Artboard](https://food.fnr.sndimg.com/content/dam/images/food/fullset/2018/11/9/0/FN_MM-Christmas-Cookie-Bars-10_s4x3.jpg.rend.hgtvcom.1280.960.suffix/1541777170519.jpeg)
Step 2. Prepare RGB Frames
Since the sthv1 website doesn't provide the original video data and only extracted RGB frames are available, you have to directly download RGB frames from sthv1 website.
You can download all RGB frame parts on sthv1 website to
$MMACTION2/data/sthv1/
and use the following command to extract.For users who only want to use RGB frames, you can skip to step 5 to generate file lists in the format of rawframes. Since the prefix of official JPGs is '%05d.jpg' (e.g., '00001.jpg'), we add 'filename_tmpl='{:05}.jpg' to the dict of
data.train
, data.val
and data.test
in the config files related with sthv1 like this:Step 3. Extract Flow
This part is optional if you only want to use RGB frames.
Before extracting, please refer to install.md for installing denseflow.
Artboard 2 2 4 Mm =
If you have plenty of SSD space, then we recommend extracting frames there for better I/O performance.
You can run the following script to soft link SSD.
Then, you can run the following script to extract optical flow based on RGB frames.
Step 4. Encode Videos
This part is optional if you only want to use RGB frames.
You can run the following script to encode videos.
Step 5. Generate File List
You can run the follow script to generate file list in the format of rawframes.
Step 5. Check Directory Structure
After the whole data process for Something-Something V1 preparation,you will get the rawframes (RGB + Flow), and annotation files for Something-Something V1.
In the context of the whole project (for Something-Something V1 only), the folder structure will look like:
Artboard 2 2 4 Mm Socket
For training and evaluating on Something-Something V1, please refer to getting_started.md.