ffe

.gitignore

@@ -143,4 +143,7 @@ archive/
 **/assets_cache.txt
 **/tmp_dir**
 automation/zip_dir/
-automation/yolo_mocker/
+automation/yolo_mocker/
+
+frontend/.web
+frontend/*.db

automation/assets_manager.py

@@ -140,11 +140,11 @@ def run():
     # the largest animal https://github.com/QIN2DIM/hcaptcha-challenger/issues/797
     # red panda https://github.com/QIN2DIM/hcaptcha-challenger/issues/896
     # sources = "https://github.com/QIN2DIM/hcaptcha-challenger/issues/826"  # the smallest animal
-    sources = "https://github.com/QIN2DIM/hcaptcha-challenger/issues/896"  # red panda
-    sources = "https://github.com/QIN2DIM/hcaptcha-challenger/issues/897"  # keyboard
-    # sources = "the largest animal"
+    # sources = "https://github.com/QIN2DIM/hcaptcha-challenger/issues/896"  # red panda
+    # sources = "https://github.com/QIN2DIM/hcaptcha-challenger/issues/897"  # keyboard
+    sources = "the largest animal"
     # sources = "please click on the largest animal"
-    sources = "the smallest animal"
+    # sources = "the smallest animal"
     # sources = "natural landscape"
     # sources = "https://github.com/QIN2DIM/hcaptcha-challenger/issues/857"  # flamingo
     # sources = "https://github.com/QIN2DIM/hcaptcha-challenger/issues/853"

automation/auto_labeling.py

@@ -188,9 +188,6 @@ def check_card(pending_card: list) -> NoReturn | bool:
             elif len(card[rk]) == 0:
                 logging.error(f"card 的必要信息不能为空 - {i=} key={rk} {require_keys=}")
                 ok = False
-            elif len(card[rk]) < 2:
-                logging.error(f"CLIP 模型在二分类任务上的准确率可能会比较糟糕 - {i=} ")
-                ok = False
 
             for label in card[rk]:
                 if not isinstance(label, str):
@@ -246,4 +243,4 @@ def run(suffix_filter: str, cards: list, base_dirname: str = "database2309"):
     logging.info(f"Loading {len(flow_card)=}")
     logging.info(f"Loading {len(flow_card_nested_animal)=}")
 
-    run("s1_bird", cards=flow_card_nested_animal)
+    run("l1_penguin", cards=flow_card_nested_animal)

automation/datasets_downloader.py

@@ -14,7 +14,7 @@
 collected = []
 per_times = 60
 tmp_dir = Path(__file__).parent.joinpath("tmp_dir")
-sitekey = SiteKey.epic
+sitekey = SiteKey.user
 
 
 async def collete_datasets(context: ASyncContext):

automation/flow_card.py

@@ -96,4 +96,15 @@
             }
         },
     },
+    {
+        "positive_labels": ["penguin"],
+        "negative_labels": ["ant", "crab", "ladybug"],
+        "joined_dirs": ["the_largest_animal", "l1_penguin"],
+        "substack": {
+            "nested_largest_penguin": {
+                "yes": ["penguin"],
+                "bad": ["ant", "crab", "ladybug"],
+            }
+        }
+    }
 ]

automation/zip_dataset.py

@@ -148,11 +148,11 @@ def run():
     # nested_largest_ => the largest animal
     # nested_smallest_ => the smallest animal
     """
-    prompt = "nested_smallest_bird"
+    prompt = "nested_largest_penguin"
 
     # nested_prompt = ""
-    nested_prompt = "the smallest animal"
-    # nested_prompt = "the largest animal"
+    # nested_prompt = "the smallest animal"
+    nested_prompt = "the largest animal"
 
     # 压缩数据集
     tn = zip_dataset(prompt=prompt)

frontend/frontend/components/custom.py

@@ -0,0 +1,21 @@
+# -*- coding: utf-8 -*-
+# Time       : 2023/11/2 17:56
+# Author     : QIN2DIM
+# GitHub     : https://github.com/QIN2DIM
+# Description:
+import reflex as rx
+
+
+class Spline(rx.Component):
+    """Spline component."""
+
+    library = "@splinetool/react-spline"
+    tag = "Spline"
+    # scene: rx.Var[str] = "https://prod.spline.design/Br2ec3WwuRGxEuij/scene.splinecode"
+    scene: rx.Var[str] = "https://prod.spline.design/PuLetvrUjzCqpW7y/scene.splinecode"
+    is_default = True
+
+    lib_dependencies: list[str] = ["@splinetool/runtime"]
+
+
+spline = Spline.create