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eebd95977f
When the filter graph is torn down early (e.g. at EOF with -frames:v),
the main thread calls dnn_free_model and destroys the request queue
while async inference threads may still be running. When a detached
thread finishes and tries to push its result back to the destroyed
queue, it triggers a segmentation fault.
Add ff_dnn_wait_requests() to dnn_backend_common which blocks
until all allocated request items (ctx->nireq) have been safely
returned to the request_queue. Call it from dnn_free_model in the
torch, tensorflow, openvino, and onnx backends before destroying the queue.
(cherry picked from commit b52c71e438)
Co-Authored-by: Fable 5