do i need to change that for NTSC or let it be?Īs for my encodings yesterday, i loaded them in DVD Architect and it didn't give me any GOP errors or need for re-encoding M2V, it is accepting my M2V as NTSC without any problems. When i load my AVI and specify the MPEG Output as PAL 25.00 FPS Progressive, i click on the GOP Structure tab and i see 1/5/2 I/P/B as you mentioned.
#Tmpgenc homepage how to#
I need to know how to define this in the GOP Structure in TMPGEnc Xpress when i'm encoding my AVI to M2V, so that i can do so correctly in future. for NTSC) ?īasically what i'm trying to ask is, i know that for NTSC we need 18 Frame long GOP and for PAL we need 15 Frame long GOP. Is this, 1/5/2 I/P/B the same as 18 Frames (reqd. which is exactly what i see in my GOP Structure in TMPGEnc Xpress when i'm encoding. This said, it may be that TDA is reporting incorrect info.Ĭheck your GOP settings of the encoded m2v anyway, if it's 18frames long (1/5/2 I/P/B), you know where the problem lies. Although it is still new, the app is a promising project with a nice implementation.Careful though, when you apply pulldown (any kind of pulldown) because the GOP length is calculated on displayed frames, rather than encoded frames, so if you set your GOP length to 18 within the encoder when you created the m2v at 25f/s, when you DGpulldown it to make it NTSC compliant, you end up with >18 long GOP, which is obviously out of spec. To conclude, the program is smart, works well, and with proper knowledge and testing, you can successfully use it. Also, you can choose to actively track the application's processes, output each execution in a command-line utility, add new encoding arguments, override the FFmpeg automatic frame count, or manage audio and subtitles in separate stream threads. The tool supports MP4, WEBM, AVI, MOV, GIF, MKV, or PNG (with image sequences) with different encoding options. Configuration features, supported formats, and debugging optionsĪfter uploading a new video, you can trim the input by start and end, choose to loop your content, change the scene detection sensitivity, or opt for two different processing styles: automatic for extracting, interpolating, and encoding or step-differentiated (running all the processes separately, for manually editing the frames later). In regards to the AI model you can opt for, the different options change with the chosen implementation for example, for the default, RIFE - CUDA/Pythorch, - RIFE 1.5 (for old generated model), RIFE 2.0 (newly generated model), RIFE 2.4 (experimental updated model), etc. Getting started with Flowframes is pretty straightforward as it quickly allows you to add video content, and you can easily navigate through the app's configuration tabs. The app use RIFE (Real-Time Intermediate Flow Estimation), DAIN (Depth-Aware Video Frame Interpolation), FLAVR (a fast and efficient frame interpolation technique), and others.
#Tmpgenc homepage plus#
The tool is still in its early development stages and it integrates different open source technologies for introducing in its engine the newly-created video frames and their proper interpolation, plus for handling the video transitions between the original and generated frames. Settings up the application for initial use Flowframes enables via embedded functionality and customized methods to recreate the original frame set of your videos, to encode your outputs differently, as well as manage the video length, quality, audio, and subtitle merging.