Train your fingerprint

A new fingerprint judges from the words for each axis on day one. Everything after that is evidence: your own work, and what you say about it.

#From your renders

To train the mechanical axes, choose Learn from renders in the Fingerprint page's Settings, or run:

raea fingerprint bootstrap ~/renders/*.mp4

raea damages moments of your own finished work on purpose (a blur, a black frame, a gap in the sound) and learns the difference, held out by source, so it can't learn a shortcut. Each axis also has disguised versions of its defect, such as a blur that was sharpened afterwards or a freeze hidden under a slow zoom. An axis that misses its disguises stays advice.

The same run teaches picture axes where a defect sits. It blurs, punches a hole in, greys out or glows one patch of a frame, and learns to find the patch. An axis that finds it 85 times in 100 on renders it didn't learn from says where: score then gives the moment's place in the frame, such as "top right", and on a render with a layer pass the layers there, such as "on Floor", and --sheet boxes it on the frame.

#From your reviewing

Your own reviewing teaches it the rest:

raea fingerprint teach cut.mp4 --axis blur --at 4.2 --bad      # a moment you marked
raea fingerprint approve final.mp4                              # approved work is clean, except where you left a note
raea fingerprint pair v1.mp4 v2.mp4 --axis glow                 # v2 is better on glow
raea fingerprint read projects/stay                             # read your pinned notes into labels
raea fingerprint readings --ask 50                              # check 50 of those readings in the app
raea fingerprint learn-notes projects/stay                      # once they read right, your notes become evidence

Notes become evidence only after you've checked how they were read: the kind right 45 times in 50 and the axis 40. A note that asks for a creative change goes to the brief, never into an axis. Each project's notes teach the fingerprint that judges that project (Projects and teams).

#Point at what you mean

A note can say exactly what it's about. On the picture, drop a pin and mark, box or lasso the thing you mean.

On the sound, choose Spectrogram on the timeline's sound track (or open the sound in Listen) and, with the Comment tool, drag a box around the part you mean, such as a hiss up high or a hum down low. A sound on its own shows its spectrogram under the waveform, where any drag draws a box. The note keeps the box's time as its span and its pitch band, your agent reads both with the note, and learn-notes labels that span and keeps the band in the label. Sound axes still judge the whole sound in each moment, so the band is kept but not yet learned from.

#When an axis is trusted

An axis is trusted once it has 16 labels of each kind from 3 projects, ranks real defects above clean work on projects it never saw, and catches its disguises. raea fingerprint report says where each one stands. An axis that is still under its bar with 300 labels is stuck: more labels won't help it, so report names it as one to try on another encoder.

#Looking back on a project

When a project is done, a post-mortem asks you what the fingerprint is least sure of:

raea fingerprint postmortem projects/film            # at most ten yes/no questions in the app, each with its moment
raea fingerprint postmortem projects/film --tally    # your answers become evidence; each head's score before and after

It scores every version in the project's feed and first asks where a head disagrees with a label you gave on that moment, then where a head is nearest its flag, one question per axis within four seconds.