Python Clip.save方法代碼示例

# 需要導入模塊: from classes.query import Clip [as 別名]
# 或者: from classes.query.Clip import save [as 別名]
    def test_add_clip(self):
        """ Test the Clip.save method by adding multiple clips """

        # Import additional classes that need the app defined first
        from classes.query import Clip

        # Find number of clips in project
        num_clips = len(Clip.filter())

        # Create clip
        c = openshot.Clip(os.path.join(info.IMAGES_PATH, "AboutLogo.png"))

        # Parse JSON
        clip_data = json.loads(c.Json())

        # Insert into project data
        query_clip = Clip()
        query_clip.data = clip_data
        query_clip.save()

        self.assertTrue(query_clip)
        self.assertEqual(len(Clip.filter()), num_clips + 1)

        # Save the clip again (which should not change the total # of clips)
        query_clip.save()

        self.assertEqual(len(Clip.filter()), num_clips + 1)

# 需要導入模塊: from classes.query import Clip [as 別名]
# 或者: from classes.query.Clip import save [as 別名]
    def setUpClass(TestQueryClass):
        """ Init unit test data """
        # Create Qt application
        TestQueryClass.app = OpenShotApp(sys.argv, mode="unittest")
        TestQueryClass.clip_ids = []
        TestQueryClass.file_ids = []
        TestQueryClass.transition_ids = []

        # Import additional classes that need the app defined first
        from classes.query import Clip, File, Transition

        # Insert some clips into the project data
        for num in range(5):
            # Create clip
            c = openshot.Clip(os.path.join(info.IMAGES_PATH, "AboutLogo.png"))

            # Parse JSON
            clip_data = json.loads(c.Json())

            # Insert into project data
            query_clip = Clip()
            query_clip.data = clip_data
            query_clip.save()

            # Keep track of the ids
            TestQueryClass.clip_ids.append(query_clip.id)

        # Insert some files into the project data
        for num in range(5):
            # Create file
            r = openshot.DummyReader(openshot.Fraction(24, 1), 640, 480, 44100, 2, 30.0)

            # Parse JSON
            file_data = json.loads(r.Json())

            # Insert into project data
            query_file = File()
            query_file.data = file_data
            query_file.data["path"] = os.path.join(info.IMAGES_PATH, "AboutLogo.png")
            query_file.data["media_type"] = "image"
            query_file.save()

            # Keep track of the ids
            TestQueryClass.file_ids.append(query_file.id)

        # Insert some transitions into the project data
        for num in range(5):
            # Create mask object
            transition_object = openshot.Mask()
            transitions_data = json.loads(transition_object.Json())

            # Insert into project data
            query_transition = Transition()
            query_transition.data = transitions_data
            query_transition.save()

            # Keep track of the ids
            TestQueryClass.transition_ids.append(query_transition.id)

# 需要導入模塊: from classes.query import Clip [as 別名]
# 或者: from classes.query.Clip import save [as 別名]
    def read_legacy_project_file(self, file_path):
        """Attempt to read a legacy version 1.x openshot project file"""
        import sys, pickle
        from classes.query import File, Track, Clip, Transition
        from classes.app import get_app
        import openshot

        try:
            import json
        except ImportError:
            import simplejson as json

        # Get translation method
        _ = get_app()._tr

        # Append version info
        v = openshot.GetVersion()
        project_data = {}
        project_data["version"] = {"openshot-qt" : info.VERSION,
                                   "libopenshot" : v.ToString()}

        # Get FPS from project
        from classes.app import get_app
        fps = get_app().project.get(["fps"])
        fps_float = float(fps["num"]) / float(fps["den"])

        # Import legacy openshot classes (from version 1.X)
        from classes.legacy.openshot import classes as legacy_classes
        from classes.legacy.openshot.classes import project as legacy_project
        from classes.legacy.openshot.classes import sequences as legacy_sequences
        from classes.legacy.openshot.classes import track as legacy_track
        from classes.legacy.openshot.classes import clip as legacy_clip
        from classes.legacy.openshot.classes import keyframe as legacy_keyframe
        from classes.legacy.openshot.classes import files as legacy_files
        from classes.legacy.openshot.classes import transition as legacy_transition
        from classes.legacy.openshot.classes import effect as legacy_effect
        from classes.legacy.openshot.classes import marker as legacy_marker
        sys.modules['openshot.classes'] = legacy_classes
        sys.modules['classes.project'] = legacy_project
        sys.modules['classes.sequences'] = legacy_sequences
        sys.modules['classes.track'] = legacy_track
        sys.modules['classes.clip'] = legacy_clip
        sys.modules['classes.keyframe'] = legacy_keyframe
        sys.modules['classes.files'] = legacy_files
        sys.modules['classes.transition'] = legacy_transition
        sys.modules['classes.effect'] = legacy_effect
        sys.modules['classes.marker'] = legacy_marker

        # Keep track of files that failed to load
        failed_files = []

        with open(file_path.encode('UTF-8'), 'rb') as f:
            try:
                # Unpickle legacy openshot project file
                v1_data = pickle.load(f, fix_imports=True, encoding="UTF-8")
                file_lookup = {}

                # Loop through files
                for item in v1_data.project_folder.items:
                    # Is this item a File (i.e. ignore folders)
                    if isinstance(item, legacy_files.OpenShotFile):
                        # Create file
                        try:
                            clip = openshot.Clip(item.name)
                            reader = clip.Reader()
                            file_data = json.loads(reader.Json(), strict=False)

                            # Determine media type
                            if file_data["has_video"] and not self.is_image(file_data):
                                file_data["media_type"] = "video"
                            elif file_data["has_video"] and self.is_image(file_data):
                                file_data["media_type"] = "image"
                            elif file_data["has_audio"] and not file_data["has_video"]:
                                file_data["media_type"] = "audio"

                            # Save new file to the project data
                            file = File()
                            file.data = file_data
                            file.save()

                            # Keep track of new ids and old ids
                            file_lookup[item.unique_id] = file

                        except:
                            # Handle exception quietly
                            msg = ("%s is not a valid video, audio, or image file." % item.name)
                            log.error(msg)
                            failed_files.append(item.name)

                # Delete all tracks
                track_list = copy.deepcopy(Track.filter())
                for track in track_list:
                    track.delete()

                # Create new tracks
                track_counter = 0
                for legacy_t in reversed(v1_data.sequences[0].tracks):
                    t = Track()
                    t.data = {"number": track_counter, "y": 0, "label": legacy_t.name}
                    t.save()
#.........這裏部分代碼省略.........

# 需要導入模塊: from classes.query import Clip [as 別名]
# 或者: from classes.query.Clip import save [as 別名]

#.........這裏部分代碼省略.........

                    # Scale animation
                    start_scale = uniform(0.5, 1.5)
                    end_scale = uniform(0.85, 1.15)

                elif zoom_value == "Zoom In":
                    animate_start_x = 0.0
                    animate_end_x = 0.0
                    animate_start_y = 0.0
                    animate_end_y = 0.0

                    # Scale animation
                    start_scale = 1.0
                    end_scale = 1.25

                elif zoom_value == "Zoom Out":
                    animate_start_x = 0.0
                    animate_end_x = 0.0
                    animate_start_y = 0.0
                    animate_end_y = 0.0

                    # Scale animation
                    start_scale = 1.25
                    end_scale = 1.0

                # Add keyframes
                start = openshot.Point((start_time * fps_float) + 1, start_scale, openshot.BEZIER)
                start_object = json.loads(start.Json())
                end = openshot.Point(end_time * fps_float, end_scale, openshot.BEZIER)
                end_object = json.loads(end.Json())
                new_clip["gravity"] = openshot.GRAVITY_CENTER
                new_clip["scale_x"]["Points"].append(start_object)
                new_clip["scale_x"]["Points"].append(end_object)
                new_clip["scale_y"]["Points"].append(start_object)
                new_clip["scale_y"]["Points"].append(end_object)

                # Add keyframes
                start_x = openshot.Point((start_time * fps_float) + 1, animate_start_x, openshot.BEZIER)
                start_x_object = json.loads(start_x.Json())
                end_x = openshot.Point(end_time * fps_float, animate_end_x, openshot.BEZIER)
                end_x_object = json.loads(end_x.Json())
                start_y = openshot.Point((start_time * fps_float) + 1, animate_start_y, openshot.BEZIER)
                start_y_object = json.loads(start_y.Json())
                end_y = openshot.Point(end_time * fps_float, animate_end_y, openshot.BEZIER)
                end_y_object = json.loads(end_y.Json())
                new_clip["gravity"] = openshot.GRAVITY_CENTER
                new_clip["location_x"]["Points"].append(start_x_object)
                new_clip["location_x"]["Points"].append(end_x_object)
                new_clip["location_y"]["Points"].append(start_y_object)
                new_clip["location_y"]["Points"].append(end_y_object)

            if transition_path:
                # Add transition for this clip (if any)
                # Open up QtImageReader for transition Image
                if random_transition:
                    random_index = randint(0, len(self.transitions))
                    transition_path = self.transitions[random_index]

                # Get reader for transition
                transition_reader = openshot.QtImageReader(transition_path)

                brightness = openshot.Keyframe()
                brightness.AddPoint(1, 1.0, openshot.BEZIER)
                brightness.AddPoint(min(transition_length, end_time - start_time) * fps_float, -1.0, openshot.BEZIER)
                contrast = openshot.Keyframe(3.0)

                # Create transition dictionary
                transitions_data = {
                    "layer": track_num,
                    "title": "Transition",
                    "type": "Mask",
                    "start": 0,
                    "end": min(transition_length, end_time - start_time),
                    "brightness": json.loads(brightness.Json()),
                    "contrast": json.loads(contrast.Json()),
                    "reader": json.loads(transition_reader.Json()),
                    "replace_image": False
                }

                # Overlap this clip with the previous one (if any)
                position = max(start_position, position - transition_length)
                transitions_data["position"] = position
                new_clip["position"] = position

                # Create transition
                tran = Transition()
                tran.data = transitions_data
                tran.save()


            # Save Clip
            clip.data = new_clip
            clip.save()

            # Increment position by length of clip
            position += (end_time - start_time)


        # Accept dialog
        super(AddToTimeline, self).accept()