summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorskal <pascal.massimino@gmail.com>2026-02-13 21:52:40 +0100
committerskal <pascal.massimino@gmail.com>2026-02-13 21:52:40 +0100
commitaa4ed8dd63291c4a04ff617f78e9c04a55492ea6 (patch)
treed657291ea293b6778f9a6e9776cfdb7d2041abb2
parent9bcdc6fdaa7e1b4a20ec0c86d521af69f4c13c62 (diff)
CNN v2 web tool: Update embedded weights to current checkpoint
Replaces v1 weights (3 layers) with v2 weights from workspaces/main/weights/cnn_v2_weights.bin: - 4 layers: 3×3, 5×5, 3×3, 3×3 - 2496 f16 weights - mip_level=2 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
-rw-r--r--tools/cnn_v2_test/index.html3
1 files changed, 2 insertions, 1 deletions
diff --git a/tools/cnn_v2_test/index.html b/tools/cnn_v2_test/index.html
index 682cb2a..9636ecf 100644
--- a/tools/cnn_v2_test/index.html
+++ b/tools/cnn_v2_test/index.html
@@ -388,7 +388,8 @@
// ============================================================================
// Default pre-trained weights (base64-encoded binary format)
-const DEFAULT_WEIGHTS_B64 = 'Q05OMgEAAAADAAAAEAUAAAMAAAAMAAAABAAAAAAAAACwAQAAAwAAAAwAAAAEAAAAsAEAALABAAADAAAADAAAAAQAAABgAwAAsAEAAFQ3KjroN2yxSjQHsFi5HyjQtSo62zsJOq00bTXTqxC2zCnntyo44zoWOuwpajKup861uis/tj4kqyl6GkOp6CjTLbukERc2K0M4ijm8NpysMjQysgW4kLAHuJo5hTvGOtI0IDTio3C0yTDLtpM2ajq1ObctXjNlHEu2vqolt/ut2KMzJxWfSKf1p4et1C1eGfgt0atJMCihIKTyLZekxxRkKBas7ygWKpqoFS8LqHkruBhVqBwsELComn0yviiZMkUuVamVMKww2i/nMN0p/C1YKGmgBi8XKVilMCrApWGtaiJpI5OtJalcrZSkR5ceKvWrwSfxroSulyRcpXymsxTUIEcmXSx+rdap4KxIrCisTivhF1+tGi6VraYry6mdLNun26kKLHYod6o9r3AsyR7TpMytuykIpbStQ6ZoIZSsJqw/rM8o5K0eIbOgYCkXqAQpHysapWOsKCZcKPwtz6OPrRAuAapTq9AnBib9rPetVK4Lr6WstayeHqEo+Sk0LBskyqc6FueiOKn/JTknFqvapjcsJiy6K0+scqHVoyWnhKZ1rtWmkiiJq18sqaU3rpUyxS3pt2E4vDEIt7gj6ipZtSU5+zWjtKQ8uDaLqEguii/Qtck1SyRMtOs4UTA6ss6zSq8TtfSeFSwlJaOspisuowSuhCbGK3QxQaslt+83HTT4tAWoNKiTtSs4XTZos1g86zcZrLopxDBMtJY09iletg46dC13qy+vdax4tjIl8ynULASrUyG2rGqsGRklq5qpPasootsi3So3LJimlqpVJC8x6imJLmSoCyzPLkOrDCQtokovPaqMKmcsYKwWpS0gcSnzL2YseqXkJqorki1RMawtGC+MMEE0MiyfsCAzGTNEsgAz9qkJtBguArUutnqugieqtBk1FJ1Yszc1RK8vtqgpNidgtfYzpy5CsBwoHKopJGaZdKxwJFaqyJp/q4kzJSwrs78xeTMXs6AziYror8YwTrN8tcukZy0htKM1nC2qsOc00rDYtBwtXa3GtN00qqo5sf8m7aoBLnGqBaZIrbMekSa7LEam56g6rPaojJ1VIfoqbiRjIwkutSxCKGsr559+L4awEqNOrvorhSTCLbAsF7DZosOle5xZLZCtuyloJHmnLyScKggf66WRqYSbwSGXrDOhoqoyrpwmDC3TrDkqvyGdrZGpvqyEpfEkfq1eKN+scRY8neSksKS1pFisyqcNpKCtraz3q90oW6ysoOsqDRrBKIWthqlxJwkqDSzqqMKYCptkJn8qcCbhpZWh/q1BqwCtT6a2pESmsBVwrn4rHau8FqQc2a15rFIrlyKEKE2pSiT5qCSuTagwq2GpP6y8KiWqIaXfrSSuxqlkpYgoZK1yriUrBCw4Iqqm8ixcreEmUCkErHstMCodLaun/a3HrE2tEyIYmzgppSGRquCpmqhdqF4s9i4vIsakEh8pKokzrDIRMyEumSTcjRCsKC6Eqg+qKamNKFupdCzyMmWqeS+FNBApFi4AMTK01aE5LYmxNTDDMIq34bB0IdKypK3wtDqxw7LBqiGw17SusK4pwS9nsYAh+CkAIcIsaLLaoRKxiyVPrGYoo60VMCywD7BGsYeszaswJmasuiiwJRuuH67mqlAmXCN2p46oKA3eq3OmLKkgqIsvrqqMKWgm/SFJqVkhJ7CksP4jc6wEhXUuwJHSLyooyKfpL16hS6UAqoauw6EQqCyjdyBlsVQntKmXLOovsiiMnDkwcSq9KFupySkOLb8jMSp2GNWoqiF9JaWqJzB/MryvxC3WLV+iUKVOspq2cSq8MOe1BK2bKHGsQiQbrOu18bgWtRKtBjGNqk6oJ7WwrbixkLTOseipITnzMFowX5+KMiiziLRxqXe0ADXmpJKonLCQqvOs+CVAlc4mxK0AJ5epbyr7q0yg4yA5qtAiJS48qZIr/aEOHw8geS8DLo4ovSytqO0q8iSsLAim4aOaJUctsKwWKUyp0S1womMqXKmprUyrHi2+qVkmsqlfKf6sEq2qK32tJK38qjyriSzHrVSoti2wE7+sdqwGLCWgMCxFKLat9KTXLEGobaXEqAmuaav5rXOksCmMJaaoRqYbrccr6iifLGMqQShppjUtoqdVLRQiCCp3qgygL6g6nmeXPq6pLFYqj6w0KLkpMKbjqdes+SyaI/UrWyg5psaqHiMzpYEt1KywqvYbEKYVLparYSetrS2tDB8wqMOnf6xLphioHqmvLOoqCquZKoElf6lQrWSoxyLiqSwglqdtqRQf9hzipQatea0GrpiugKqaqbMrMqpToyMuASgbrbyroa0lKGAkFafjKeSm96sWLj4tHyGqL5kw4THeMj4wxC36KWMtJDSbp/SpUa5Ss+WlLZz0qlcl36pDJ+4rsCbcKQgrtSLyqawn/TmTluOjaijcLOAk3CdpJUYo3Ds8pIct6CvkLeiqyqIrHemwwjmzrvEcVakZLXacjSxEoeulOSn5pkCsJSpHJgiubCNuKvslwi2sIZknnyoTHRud/CzjoX8kGiysK56ooa9wqrcl8J30KJ0rdqipKB8m5KDsI/gg9p2aqsSiazFAlRuqtykkKxwo2qknrJIYMaxEpy6r7KotrYWcqqpnLnst0iAiMCswCzIvMoowUi4cK88q+zKarCio7a1esmyqeaxHrIOpRyw9Ig8tJKv5qDUrMh5SqSWeKTqcnw8aQCTLLd8qSCVpHlcsWDsHKEMt/SxuKCOv1qHwoj2wFToQrUCkhqoCLkwopgvToAslhqa+q/Qq56zYp1UqmKWiInUmeS5BqaQsVSkSqiOCcCqVJvwsEixYKtKsia7OrDMfnqEhJWcw+qkRL5elRhURprapYKsvJ4IjWyqgLDEh9SjsLfUsSSeZqiYpshTRHtyqPapurKKnrqjTLCMsAii8LwQx3DBgM9AwdyojLSAuMjP4qLSqiqzZs7ao6avJLTaoNKgErXotqSzOLT8s35Ikp1cX8jmOn3KnTilDLjEjwylOqEkqEzyhINYwpST1KBqsW6N5JsKwqDm/rxipzqgfMPGs0KzzqggrNKyXqmSsxhOMrDWtGh/wKCQrFyueKPMtG6Pvo9wP/yyIDnQc2CelIHSjca8eI0meGgqEIq4xPKzKMMwm06CIJbGd0Ci2rDsuYxM/MGWoNB14IGSoTimyqqMgr6k2qycpxaH7EI0wbiMQL4goXDHJMA4y+TBvMYssAC5XMUY0AzX2L74yoS5zMqmqTauXqX8oDakgKaGozqYSrF0onygXLtgeZ6WaLVYtRCzPLG0lk6vlKIcp/C66qJMuKSSAKK+f4KqHLognYijKKjUojynrpS8hHa2Tqqks4KsLLOMt4yyqrJUutS8QIeUuqjBEMd4qTyu/LXEtpy1rKlgtaigUL5wsSy1kJccV5KyJMCoy/qswMM4tIiLTMX2pwaRhLpsvBS5LMOwsbzI7LQ==';
+// Version 2: 4 layers (3×3, 5×5, 3×3, 3×3), 2496 f16 weights, mip_level=2
+const DEFAULT_WEIGHTS_B64 = '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';
// Reusable fullscreen quad vertex shader (2 triangles covering NDC)
const FULLSCREEN_QUAD_VS = `