buenosairesam
020f3540d3
- pipeline edge transforms: stages can declare accepted_transforms, edges carry a transform dict, runner injects per-stage and nodes apply (e.g. invert_mask before edge detection); editable from UI via PUT /config/edge-transform - rename mpr-ui-framework -> soleprint-ui (now an external package synced via .spr from /home/mariano/wdir/spr); add @vue-flow/core and uplot to detection-app so linked package resolves them - Tiltfile guards kubectl context, k8s commands pin --context kind-mpr - kind-config: gateway on hostPort 30080 (Caddy fronts mpr.local.ar) - modelgen: pyproject.toml, .spr marker, dict default_factory support
144 lines
3.0 KiB
JSON
144 lines
3.0 KiB
JSON
{
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"name": "soccer_broadcast",
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"pipeline": {
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"name": "soccer_broadcast",
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"profile_name": "soccer_broadcast",
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"stages": [
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{
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"name": "extract_frames",
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"branch": "trunk"
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},
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{
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"name": "filter_scenes",
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"branch": "trunk"
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},
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{
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"name": "field_segmentation",
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"branch": "trunk"
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},
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{
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"name": "detect_edges",
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"branch": "hoarding"
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},
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{
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"name": "detect_objects",
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"branch": "objects"
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},
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{
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"name": "preprocess"
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},
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{
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"name": "run_ocr"
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},
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{
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"name": "match_brands"
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},
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{
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"name": "escalate_vlm"
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},
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{
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"name": "escalate_cloud"
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},
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{
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"name": "compile_report"
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}
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],
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"edges": [
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{
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"source": "extract_frames",
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"target": "filter_scenes"
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},
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{
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"source": "filter_scenes",
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"target": "field_segmentation"
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},
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{
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"source": "field_segmentation",
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"target": "detect_edges",
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"transform": {"invert_mask": true}
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},
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{
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"source": "field_segmentation",
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"target": "detect_objects"
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},
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{
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"source": "detect_edges",
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"target": "preprocess"
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},
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{
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"source": "detect_objects",
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"target": "preprocess"
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},
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{
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"source": "preprocess",
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"target": "run_ocr"
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},
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{
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"source": "run_ocr",
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"target": "match_brands"
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},
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{
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"source": "match_brands",
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"target": "escalate_vlm"
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},
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{
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"source": "escalate_vlm",
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"target": "escalate_cloud"
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},
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{
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"source": "escalate_cloud",
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"target": "compile_report"
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}
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]
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},
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"configs": {
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"extract_frames": {
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"fps": 2.0,
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"max_frames": 500
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},
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"filter_scenes": {
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"hamming_threshold": 8,
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"enabled": true
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},
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"field_segmentation": {
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"enabled": true,
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"hue_low": 30,
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"hue_high": 85,
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"sat_low": 30,
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"sat_high": 255,
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"val_low": 30,
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"val_high": 255,
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"morph_kernel": 15,
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"min_area_ratio": 0.05
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},
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"detect_edges": {
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"enabled": true,
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"edge_canny_low": 50,
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"edge_canny_high": 150,
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"edge_hough_threshold": 80,
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"edge_hough_min_length": 100,
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"edge_hough_max_gap": 10,
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"edge_pair_max_distance": 200,
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"edge_pair_min_distance": 15
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},
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"detect_objects": {
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"model_name": "yolov8n.pt",
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"confidence_threshold": 0.3,
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"target_classes": []
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},
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"run_ocr": {
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"languages": [
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"en",
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"es"
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],
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"min_confidence": 0.5
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},
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"match_brands": {
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"fuzzy_threshold": 75
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},
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"escalate_vlm": {
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"vlm_prompt_template": "Identify the brand or sponsor visible in this cropped region from a soccer broadcast.{hint}{text} Respond with: brand, confidence (0-1), reasoning."
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}
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}
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}
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