working

.gitignore

@@ -4,5 +4,6 @@
 /.gpu-3d/
 /.venv/
 /venv/
+*.mp4
 
 yolo11*

.idea/JustTwerk.iml

@@ -2,9 +2,12 @@
 <module type="PYTHON_MODULE" version="4">
   <component name="NewModuleRootManager">
     <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.gpu" />
+      <excludeFolder url="file://$MODULE_DIR$/.gpu-3d" />
       <excludeFolder url="file://$MODULE_DIR$/.venv" />
-      <excludeFolder url="file://$MODULE_DIR$/.venv1" />
+      <excludeFolder url="file://$MODULE_DIR$/.venv-2" />
     </content>
+    <orderEntry type="jdk" jdkName="Python 3.14 virtualenv at C:\Users\Kajetan\PycharmProjects\JustTwerk\.venv-2" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="PyDocumentationSettings">

.idea/misc.xml

@@ -3,5 +3,5 @@
   <component name="Black">
     <option name="sdkName" value="Python 3.13 (JustTwerk)" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.11 virtualenv at C:\Users\Kajetan\PycharmProjects\JustTwerk\.gpu-3d" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.14 virtualenv at C:\Users\Kajetan\PycharmProjects\JustTwerk\.venv-2" project-jdk-type="Python SDK" />
 </project>

.idea/workspace.xml

@@ -5,10 +5,13 @@
   </component>
   <component name="ChangeListManager">
     <list default="true" id="441a4e7b-d6ce-44cb-92c5-2f22f1b1874f" name="Changes" comment="working">
-      <change beforePath="$PROJECT_DIR$/.idea/vcs.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/vcs.xml" afterDir="false" />
+      <change afterPath="$PROJECT_DIR$/moves_dump.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/JustTwerk.iml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/JustTwerk.iml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/misc.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/misc.xml" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/main.py" beforeDir="false" afterPath="$PROJECT_DIR$/main.py" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/utils.py" beforeDir="false" afterPath="$PROJECT_DIR$/utils.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/video_methods.py" beforeDir="false" afterPath="$PROJECT_DIR$/video_methods.py" afterDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
@@ -34,46 +37,48 @@
     <option name="hideEmptyMiddlePackages" value="true" />
     <option name="showLibraryContents" value="true" />
   </component>
-  <component name="PropertiesComponent">{
+  <component name="PropertiesComponent"><![CDATA[{
-  &quot;keyToString&quot;: {
+  "keyToString": {
-    &quot;ModuleVcsDetector.initialDetectionPerformed&quot;: &quot;true&quot;,
+    "ModuleVcsDetector.initialDetectionPerformed": "true",
-    &quot;Python.02_whole_body_from_image.executor&quot;: &quot;Run&quot;,
+    "Python.02_whole_body_from_image.executor": "Run",
-    &quot;Python.3d.executor&quot;: &quot;Run&quot;,
+    "Python.3d.executor": "Run",
-    &quot;Python.body3d.executor&quot;: &quot;Run&quot;,
+    "Python.body3d.executor": "Run",
-    &quot;Python.body3d_pose_lifter_demo.executor&quot;: &quot;Run&quot;,
+    "Python.body3d_pose_lifter_demo.executor": "Run",
-    &quot;Python.calculate.executor&quot;: &quot;Run&quot;,
+    "Python.calculate.executor": "Run",
-    &quot;Python.checkpoint.executor&quot;: &quot;Run&quot;,
+    "Python.checkpoint.executor": "Run",
-    &quot;Python.draw.executor&quot;: &quot;Run&quot;,
+    "Python.draw.executor": "Run",
-    &quot;Python.filter.executor&quot;: &quot;Run&quot;,
+    "Python.filter.executor": "Run",
-    &quot;Python.is_torch.executor&quot;: &quot;Run&quot;,
+    "Python.is_torch.executor": "Run",
-    &quot;Python.local_visualizer_3d.executor&quot;: &quot;Run&quot;,
+    "Python.local_visualizer_3d.executor": "Run",
-    &quot;Python.main.executor&quot;: &quot;Run&quot;,
+    "Python.main.executor": "Run",
-    &quot;Python.openpose.executor&quot;: &quot;Run&quot;,
+    "Python.moves_dump.executor": "Run",
-    &quot;Python.receive_images.executor&quot;: &quot;Run&quot;,
+    "Python.openpose.executor": "Run",
-    &quot;Python.receiver.executor&quot;: &quot;Run&quot;,
+    "Python.receive_images.executor": "Run",
-    &quot;Python.sender.executor&quot;: &quot;Run&quot;,
+    "Python.receiver.executor": "Run",
-    &quot;Python.test.executor&quot;: &quot;Run&quot;,
+    "Python.sender.executor": "Run",
-    &quot;Python.ultralytics-test.executor&quot;: &quot;Run&quot;,
+    "Python.test.executor": "Run",
-    &quot;RunOnceActivity.ShowReadmeOnStart&quot;: &quot;true&quot;,
+    "Python.ultralytics-test.executor": "Run",
-    &quot;RunOnceActivity.TerminalTabsStorage.copyFrom.TerminalArrangementManager.252&quot;: &quot;true&quot;,
+    "RunOnceActivity.ShowReadmeOnStart": "true",
-    &quot;RunOnceActivity.git.unshallow&quot;: &quot;true&quot;,
+    "RunOnceActivity.TerminalTabsStorage.copyFrom.TerminalArrangementManager.252": "true",
-    &quot;git-widget-placeholder&quot;: &quot;main&quot;,
+    "RunOnceActivity.git.unshallow": "true",
-    &quot;last_opened_file_path&quot;: &quot;C:/Users/Kajetan/PycharmProjects/JustTwerk&quot;,
+    "git-widget-placeholder": "main",
-    &quot;node.js.detected.package.eslint&quot;: &quot;true&quot;,
+    "ignore.virus.scanning.warn.message": "true",
-    &quot;node.js.detected.package.tslint&quot;: &quot;true&quot;,
+    "last_opened_file_path": "C:/Users/Kajetan/PycharmProjects/JustTwerk",
-    &quot;node.js.selected.package.eslint&quot;: &quot;(autodetect)&quot;,
+    "node.js.detected.package.eslint": "true",
-    &quot;node.js.selected.package.tslint&quot;: &quot;(autodetect)&quot;,
+    "node.js.detected.package.tslint": "true",
-    &quot;nodejs_package_manager_path&quot;: &quot;npm&quot;,
+    "node.js.selected.package.eslint": "(autodetect)",
-    &quot;settings.editor.selected.configurable&quot;: &quot;configurable.group.editor&quot;,
+    "node.js.selected.package.tslint": "(autodetect)",
-    &quot;vue.rearranger.settings.migration&quot;: &quot;true&quot;
+    "nodejs_package_manager_path": "npm",
+    "settings.editor.selected.configurable": "configurable.group.editor",
+    "vue.rearranger.settings.migration": "true"
   }
-}</component>
+}]]></component>
   <component name="RecentsManager">
     <key name="CopyFile.RECENT_KEYS">
       <recent name="C:\Users\Kajetan\PycharmProjects\JustTwerk" />
     </key>
   </component>
-  <component name="RunManager" selected="Python.draw">
+  <component name="RunManager" selected="Python.main">
     <configuration name="draw" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
       <module name="JustTwerk" />
       <option name="ENV_FILES" value="" />
@@ -97,6 +102,29 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
+    <configuration name="main" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+      <module name="JustTwerk" />
+      <option name="ENV_FILES" value="" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/main.py" />
+      <option name="PARAMETERS" value="cam" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
     <configuration name="test" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
       <module name="JustTwerk" />
       <option name="ENV_FILES" value="" />
@@ -122,6 +150,7 @@
     </configuration>
     <recent_temporary>
       <list>
+        <item itemvalue="Python.main" />
         <item itemvalue="Python.draw" />
         <item itemvalue="Python.test" />
       </list>
@@ -130,8 +159,8 @@
   <component name="SharedIndexes">
     <attachedChunks>
       <set>
-        <option value="bundled-js-predefined-d6986cc7102b-e03c56caf84a-JavaScript-PY-252.23892.515" />
+        <option value="bundled-js-predefined-d6986cc7102b-3aa1da707db6-JavaScript-PY-252.27397.106" />
-        <option value="bundled-python-sdk-7e47963ff851-f0eec537fc84-com.jetbrains.pycharm.pro.sharedIndexes.bundled-PY-252.23892.515" />
+        <option value="bundled-python-sdk-4e2b1448bda8-9a97661f3031-com.jetbrains.pycharm.pro.sharedIndexes.bundled-PY-252.27397.106" />
       </set>
     </attachedChunks>
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@@ -152,7 +181,9 @@
       <workItem from="1756053672258" duration="16821000" />
       <workItem from="1756216787734" duration="969000" />
       <workItem from="1756632365037" duration="26000" />
-      <workItem from="1757522631129" duration="1771000" />
+      <workItem from="1757522631129" duration="3558000" />
+      <workItem from="1764254526843" duration="634000" />
+      <workItem from="1764255184384" duration="6392000" />
     </task>
     <task id="LOCAL-00001" summary="initial commit">
       <option name="closed" value="true" />
@@ -170,7 +201,31 @@
       <option name="project" value="LOCAL" />
       <updated>1756143470328</updated>
     </task>
-    <option name="localTasksCounter" value="3" />
+    <task id="LOCAL-00003" summary="working">
+      <option name="closed" value="true" />
+      <created>1757526666977</created>
+      <option name="number" value="00003" />
+      <option name="presentableId" value="LOCAL-00003" />
+      <option name="project" value="LOCAL" />
+      <updated>1757526666977</updated>
+    </task>
+    <task id="LOCAL-00004" summary="working">
+      <option name="closed" value="true" />
+      <created>1757526984452</created>
+      <option name="number" value="00004" />
+      <option name="presentableId" value="LOCAL-00004" />
+      <option name="project" value="LOCAL" />
+      <updated>1757526984452</updated>
+    </task>
+    <task id="LOCAL-00005" summary="working">
+      <option name="closed" value="true" />
+      <created>1757527150056</created>
+      <option name="number" value="00005" />
+      <option name="presentableId" value="LOCAL-00005" />
+      <option name="project" value="LOCAL" />
+      <updated>1757527150056</updated>
+    </task>
+    <option name="localTasksCounter" value="6" />
     <servers />
   </component>
   <component name="TypeScriptGeneratedFilesManager">
@@ -182,7 +237,7 @@
     <option name="LAST_COMMIT_MESSAGE" value="working" />
   </component>
   <component name="com.intellij.coverage.CoverageDataManagerImpl">
-    <SUITE FILE_PATH="coverage/JustTwerk$main.coverage" NAME="main Coverage Results" MODIFIED="1756143599014" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
+    <SUITE FILE_PATH="coverage/JustTwerk$main.coverage" NAME="main Coverage Results" MODIFIED="1764275198914" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/JustTwerk$receiver.coverage" NAME="receiver Coverage Results" MODIFIED="1756142451233" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/JustTwerk$filter.coverage" NAME="filter Coverage Results" MODIFIED="1755972211046" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/JustTwerk$body3d_pose_lifter_demo.coverage" NAME="body3d_pose_lifter_demo Coverage Results" MODIFIED="1755937235510" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/mmpose/demo" />
@@ -196,8 +251,9 @@
     <SUITE FILE_PATH="coverage/JustTwerk$draw.coverage" NAME="draw Coverage Results" MODIFIED="1756053706980" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/JustTwerk$ultralytics_test.coverage" NAME="ultralytics-test Coverage Results" MODIFIED="1756116377896" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/JustTwerk$3d.coverage" NAME="3d Coverage Results" MODIFIED="1756027604884" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
+    <SUITE FILE_PATH="coverage/JustTwerk$moves_dump.coverage" NAME="moves_dump Coverage Results" MODIFIED="1764275034611" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/JustTwerk$local_visualizer_3d.coverage" NAME="local_visualizer_3d Coverage Results" MODIFIED="1755937454029" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/.gpu/Lib/site-packages/mmpose/visualization" />
-    <SUITE FILE_PATH="coverage/JustTwerk$is_torch.coverage" NAME="is_torch Coverage Results" MODIFIED="1755943611769" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
+    <SUITE FILE_PATH="coverage/JustTwerk$is_torch.coverage" NAME="is_torch Coverage Results" MODIFIED="1764256054151" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
     <SUITE FILE_PATH="coverage/JustTwerk$test.coverage" NAME="test Coverage Results" MODIFIED="1756025632346" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
   </component>
 </project>

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "liveServer.settings.port": 5501
+}

mac.py

@@ -0,0 +1,36 @@
+import cv2
+import mediapipe as mp
+mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
+mp_pose = mp.solutions.pose
+
+cap = cv2.VideoCapture(0)
+with mp_pose.Pose(
+    min_detection_confidence=0.5,
+    min_tracking_confidence=0.5) as pose:
+  while cap.isOpened():
+    success, image = cap.read()
+    if not success:
+      print("Ignoring empty camera frame.")
+      continue
+
+    # To improve performance, optionally mark the image as not writeable to
+    # pass by reference.
+    image.flags.writeable = False
+    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+    results = pose.process(image)
+
+    # Draw the pose annotation on the image.
+    image.flags.writeable = True
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    mp_drawing.draw_landmarks(
+        image,
+        results.pose_landmarks,
+        mp_pose.POSE_CONNECTIONS,
+        landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style())
+    # Flip the image horizontally for a selfie-view display.
+    cv2.imshow('MediaPipe Pose', cv2.flip(image, 1))
+    if cv2.waitKey(5) & 0xFF == 27:
+      break
+
+cap.release()

main.py

@@ -5,11 +5,13 @@ from ultralytics import YOLO
 import cv2
 import time
 
+import utils
 from calculate import normalize_pose, compare_poses_boolean
 from draw import draw_new
+from utils import find_closest
 from video_methods import initialize_method
 
-model = YOLO("yolo11x-pose.pt")
+model = YOLO("yolo11s-pose.pt")
 
 if len(sys.argv) == 2:
     method_type = sys.argv[1]
@@ -51,6 +53,8 @@ def main():
     for i, move in enumerate(moves):
         moves[i] = (move[0] - startValue, move[1], move[2])
 
+    print(moves)
+
     while True:
         frame = method.receive_frame()
 
@@ -65,7 +69,10 @@ def main():
         fps = 1 / delta if delta > 0 else float('inf')
         # print(f"\rDelta: {delta:.4f}s, FPS: {fps:.2f}", end="")
 
-        for result in results:
+        if len(results) == 0:
+            continue
+
+        result = results[0]
         kpts = result.keypoints.data[0] if len(result.keypoints.data) else None
 
         if kpts is None:
@@ -74,9 +81,11 @@ def main():
         img = frame
 
         normalized = normalize_pose(result.keypoints.xy.cpu().numpy()[0])
-            cv2.imshow('you', draw_new(result.keypoints.xy.cpu()[0]))
 
-            if currTimeIndex != 0 and moves.index(find_closest(time.time() - currTimeIndex)) == len(moves) - 1:
+        draw = utils.normalize(result.keypoints.xy.cpu().numpy()[0])
+        cv2.imshow('you', draw_new(draw * 100 + 100))
+
+        if currTimeIndex != 0 and moves.index(find_closest(moves, time.time() - currTimeIndex)) == len(moves) - 1:
             mehCount = totalCount - failCount - goodCount
 
             print(
@@ -96,7 +105,7 @@ def main():
         else:
             changed = False
 
-                closest = find_closest(time.time() - currTimeIndex)
+            closest = find_closest(moves, time.time() - currTimeIndex)
             cv2.imshow('Dots', draw_new(closest[2]))
 
             if abs((time.time() - currTimeIndex) - moves[currIndex][0]) > failRate:
@@ -130,7 +139,8 @@ def main():
             #     moves.append((time.time() - startTime, normalize_pose(result.keypoints.xy.cpu().numpy()[0]), result.keypoints.xy.cpu()[0]))
             # elif len(moves) != 0:
             #     with open('moves.pkl', 'wb') as f:  # 'wb' = write binary
-            #         pickle.dump(moves, f)
+            #         pickle.dump
+            #         (moves, f)
             #
             #     exit(1)
 

moves_3d.py

@@ -0,0 +1,43 @@
+import cv2
+import mediapipe as mp
+import cv2
+import mediapipe as mp
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+mp_drawing = mp.solutions.drawing_utils
+mp_drawing_styles = mp.solutions.drawing_styles
+mp_pose = mp.solutions.pose
+
+cap = cv2.VideoCapture(0)
+with mp_pose.Pose(
+    min_detection_confidence=0.5,
+    min_tracking_confidence=0.5) as pose:
+  while cap.isOpened():
+    success, image = cap.read()
+    if not success:
+      print("Ignoring empty camera frame.")
+      # If loading a video, use 'break' instead of 'continue'.
+      continue
+
+    # To improve performance, optionally mark the image as not writeable to
+    # pass by reference.
+    image.flags.writeable = False
+    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+    results = pose.process(image)
+
+    print(f"\r{results.pose_world_landmarks[0]}", end="")
+
+    # Draw the pose annotation on the image.
+    image.flags.writeable = True
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    mp_drawing.draw_landmarks(
+        image,
+        results.pose_landmarks,
+        mp_pose.POSE_CONNECTIONS,
+        landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style())
+    # Flip the image horizontally for a selfie-view display.
+
+    landmarks = results.pose_world_landmarks.landmark
+
+    print(landmark)
+cap.release()

moves_3d_mp4.py

@@ -0,0 +1,92 @@
+import cv2
+import mediapipe as mp
+import matplotlib
+matplotlib.use("Agg")  # <-- ważne: wyłącza GUI
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+import numpy as np
+
+# ---------------------
+# Wideo wejściowe
+# ---------------------
+cap = cv2.VideoCapture("input.mp4")
+fps = cap.get(cv2.CAP_PROP_FPS)
+width = 640
+height = 640
+
+# ---------------------
+# Wideo wyjściowe
+# ---------------------
+fourcc = cv2.VideoWriter_fourcc(*"MJPG")
+
+
+out = cv2.VideoWriter("output.mp4", fourcc, fps, (width, height))
+
+# ---------------------
+# MediaPipe Pose
+# ---------------------
+mp_pose = mp.solutions.pose
+pose = mp_pose.Pose(static_image_mode=False, model_complexity=1)
+
+frame_id = 0
+
+while True:
+    ok, frame = cap.read()
+    if not ok:
+        break
+
+    rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+    results = pose.process(rgb)
+
+    # -----------------------------------------
+    # 3D landmarki: pose_world_landmarks
+    # -----------------------------------------
+    if results.pose_world_landmarks:
+        lm = results.pose_world_landmarks.landmark
+
+        xs = np.array([p.x for p in lm])
+        ys = np.array([p.y for p in lm])
+        zs = np.array([p.z for p in lm])
+
+        # -----------------------------
+        # RYSOWANIE 3D w Matplotlib
+        # -----------------------------
+        fig = plt.figure(figsize=(6.4, 6.4), dpi=100)
+        ax = fig.add_subplot(111, projection="3d")
+
+        ax.scatter(xs, zs, ys, s=20)
+
+        ax.set_xlim([-1, 1])
+        ax.set_ylim([-1, 1])
+        ax.set_zlim([-1, 1])
+
+        ax.set_xlabel("X")
+        ax.set_ylabel("Y")
+        ax.set_zlabel("Z")
+        ax.invert_zaxis()
+
+        # -----------------------------------------
+        # Konwersja wykresu Matplotlib → klatka do MP4
+        # -----------------------------------------
+        fig.canvas.draw()
+        renderer = fig.canvas.get_renderer()
+
+        w, h = fig.canvas.get_width_height()
+
+        buf = renderer.buffer_rgba()
+        plot_img = np.frombuffer(buf, dtype=np.uint8).reshape((h, w, 4))[:, :, :3]
+
+
+        plt.close(fig)
+
+        # Dopasowanie rozmiaru do wideo
+        plot_img = cv2.resize(plot_img, (width, height))
+        plot_img = cv2.cvtColor(plot_img, cv2.COLOR_RGB2BGR)
+
+        out.write(plot_img)
+
+    frame_id += 1
+
+cap.release()
+out.release()
+print("Zapisano: output.mp4")

moves_dump.py

@@ -0,0 +1,42 @@
+import json
+import pickle
+import time
+
+import cv2
+import numpy as np
+
+import utils
+from draw import draw_new
+
+moves = []
+better_moves = {}
+
+with open('moves.pkl', 'rb') as f:  # 'rb' = read binary
+    moves = pickle.load(f)
+
+startValue = moves[0][0]
+totalCount = len(moves)
+
+for i, move in enumerate(moves):
+    moves[i] = (move[0] - startValue, move[1], move[2])
+
+    # left_hip = move[2][11]   # Left Hip
+    # right_hip = move[2][12]  # Right Hip
+    # center = (left_hip + right_hip) / 2
+    #
+    # # Normalizacja względem środka ciała
+    # normalized_keypoints = move[2] - center
+    #
+    # better_moves[round((move[0] - startValue) * 1000)] = normalized_keypoints.tolist()
+    #
+    # # scale = utils.distance(move[2][11], move[2][12])
+    # # print(scale)
+    # draw = normalized_keypoints + 200
+
+
+    # Do rysowania (np. przesunięcie na ekran)
+    draw = utils.normalize(move[2]) * 200 + 250
+
+    cv2.imshow('you', draw_new(draw))
+    cv2.waitKey(1)
+    time.sleep(0.1)

utils.py

@@ -1,3 +1,5 @@
+import math
+
 import cv2
 import numpy as np
 
@@ -10,8 +12,32 @@ def recvall(sock, n):
         data += packet
     return data
 
-def find_closest(target):
+def distance(p1, p2):
-    global moves
+    return math.sqrt((p2[0] - p1[0])**2 + (p2[1] - p1[1])**2)
+
+import numpy as np
+
+def normalize(move):
+    left_hip = move[11]   # Left Hip
+    right_hip = move[12]  # Right Hip
+    nose = move[0]        # Nose (głowa)
+
+    # Środek bioder
+    center = (left_hip + right_hip) / 2
+
+    # Przesunięcie względem środka
+    normalized_keypoints = move - center
+
+    # Zamiast max_dist używamy stałej miary "rozmiaru ciała"
+    body_height = np.linalg.norm(nose[:2] - center[:2])  # np. odległość biodra-głowa
+
+    if body_height > 0:
+        normalized_keypoints[:, :2] /= body_height
+
+    draw = normalized_keypoints[:, :2]
+    return draw
+
+def find_closest(moves, target):
     return min(moves, key=lambda t: abs(t[0] - target))
 
 def resize_with_padding(image, target_size=(640, 640)):

video_methods.py

@@ -16,7 +16,7 @@ class Method:
     def __init__(self, method_type):
         self.method_type = method_type
 
-        if method_type is "cam":
+        if method_type == "cam":
             self.cap = cv2.VideoCapture(0)
 
             if not self.cap.isOpened():
@@ -34,7 +34,7 @@ class Method:
             self.start_time = time.time()
 
     def receive_frame(self):
-        if self.method_type is "cam":
+        if self.method_type == "cam":
             _, frame = self.cap.read()
 
             if not _: