[frgfm]

Reduce latency and memory by batching reads, selecting recent frames in SQL, and streaming bounded CSV batches. Remove the obsolete lookup and reuse existing test fixtures.

Workload	Median latency, ms (base → PR)	Peak RSS, MiB (base → PR)
Camera list: 100 cameras	99.3 → 11.9	164.6 → 163.8
Bbox-selection step: 20 sequences	19.4 → 7.0	162.9 → 162.9
Frame-selection step: 100,000 frames	4,660.5 → 297.5	368.2 → 162.8
CSV download: 10,000 rows	4,641.2 → 2,853.0	183.1 → 164.1

Local PostgreSQL; three fresh workers/revision, one warmup then three serial requests each. Latency is request p50; RSS is median worker VmHWM including startup, excluding DB/client. CSV timing covers the full streamed download; selection steps exclude model inference. Read responses match the base.

List endpoints enforce page limits; the client supports limit/offset (defaults in changelog). Exports can reflect concurrent edits. Regression tests, Ruff and Ty pass.

[codecov]

Codecov Report

❌ Patch coverage is 99.00990% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 94.68%. Comparing base (9f4c75f) to head (2fc28f4).
⚠️ Report is 4 commits behind head on main.

Files with missing lines	Patch %	Lines
src/app/crud/crud_detection.py	96.96%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #715      +/-   ##
==========================================
+ Coverage   94.48%   94.68%   +0.19%     
==========================================
  Files          59       59              
  Lines        3246     3253       +7     
==========================================
+ Hits         3067     3080      +13     
+ Misses        179      173       -6     

Flag	Coverage Δ
backend	94.83% <99.00%> (+0.20%)	⬆️
client	91.30% <100.00%> (ø)

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[MateoLostanlen]

Thanks for this optimization 😄